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āļāļąāļāļĐāļ°:
Business Development, Risk Management, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āđāļāđāļāļĻāļđāļāļĒāđāļāļĨāļēāļāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļģāļŦāļāļāļŠāļīāļāļāļīāđāđāļĨāļ°āļĢāļ°āļāļąāļāļāļēāļĢāđāļāđāļēāđāļāđāļāļēāļāļĢāļ°āļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļāļđāđāđāļāđ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ IT āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļļāļāļāđāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļĨāļāļāļāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāļĢāļ°āļāļāļāļēāļ.
- āļāļģāļŦāļāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāļĢāļ°āđāļāļĩāļĒāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļāđāļēāļāļāļīāļāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļāļāļĒāļđāđāđāļŠāļĄāļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļđāđāđāļāđāļĢāļ°āļāļ āđāļĨāļ°āļāļģāļŦāļāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāđāļāļĢāļ°āļāļāļāļēāļāđāļŦāđāļāļđāļāļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļĒāļđāđāđāļāļĢāļ°āļāļāđāļāļ·āđāļāļāļģāļĄāļēāđāļāđāđāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāļāļĨāļāļēāļ/āļĢāļēāļĒāļāļēāļāļāđāļēāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļāļąāļāļāļāļēāļāļēāļĢ.
- āļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļāļđāđāļĨāļāļąāļāļāļēāļĢ Data Pipeline Architecture āđāļŦāđāđāļāļīāļāļāļĢāļ°āđāļĒāļāļāđāļŠāļđāļāļŠāļļāļāđāļŦāđ Requirement IT.
- āļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļāļēāļāļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāļāļāļāļāļāļēāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļĨāļ°āļĢāļ°āļāļāļāļēāļāļāđāļēāļāđāđāļāļ·āđāļāļāļąāļāļāļģ āđāļĨāļ°āļāļđāđāļĨ Datamart āđāļŦāđāļĄāļĩāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāđāļāļāļąāļāļāļļāļāļąāļ āđāļĨāļ°āļŠāļĄāļāļđāļĢāļāđāļāļĢāđāļāļĄāđāļāđāļāļēāļ āđāļāđāļ āđāļāđāđāļāļāļēāļĢāļāļąāļāļāļē.
- āļāļāļŠāļāļāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļāļģāļĨāļāļ āđāļĨāļ°āđāļāđāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļ.
- āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāđāļŦāđāļāđāļāļĄāļđāļĨāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāđāļāļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļĢāļ§āļĄāļāļąāđāļāļāļĢāļąāļāļāļĢāļļāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļāļđāļāļāđāļāļāļāđāļēāđāļāļ·āđāļāļāļ·āļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļŠāļīāļāļāļīāđāļāļēāļĢāđāļāđāļēāļāļķāļāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ (āđāļāļāļēāļ°āļĢāļ°āļāļāļāļēāļāđāļĨāļ° Datamart āļāļĩāđāļāđāļēāļĒāļŊ āđāļāđāļ owner).
- āļāļąāļāļāļģāļāļđāđāļĄāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (SOP) āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (User Manual) āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāđāļēāļāļāļēāļĢāļāļāļąāļāļāļ āđāļĨāļ°āļāļķāļāļāļāļĢāļĄ āļāļāļāļĢāļ°āļĄāļēāļ āļāđāļēāđāļāđāļāđāļēāļĒ āļŠāļēāļĢāļāļĢāļĢāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāđāļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāļ·āđāļāđāļāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāđāļāļāļēāļāļāđāļēāļ Project Management.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļēāđāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļāļāļāļēāļāđāļŦāļāđ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĩāđāļāļģāđāļāđāļāļāđāļ model development āđāļĨāļ° maintenance āđāļāđāđāļāđ.
- āļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļŠāļāļīāļāļī (Modelling, Statistics) āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļāļēāļāđāļŦāļāđ (Data Analytics, Big Data) āđāļĨāļ° computer programming (e.g. Data Science) āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĒāđāļēāļāļāđāļāļĒāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļ āļāđāļāđāļāļāļĩāđ āđāļāđāļ āđāļāļāļāļģāļĨāļāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Modelling, IFRS9, Basel, Credit Rating, Credit Pricing Model).
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāđāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Analysis) āļāļ§āļēāļĄāļĢāļđāđāļāļēāļāļāđāļēāļāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđāļāļēāļĢāđāļāļīāļāđāļĨāļ°āđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ (MIS, Data Engineering).
- āļĄāļĩāļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāđāļāļāļķāđāļāđāļ āļāđāļēāļ Statistics, Econometrics, Data Science, Data Analytics, Computer Science, Computer Engineering, Operational Research, Risk Analytics/Modelling, Mathematical Finance, Financial Engineering, Economics, MIS āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļąāļāļĐāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļīāđāļĻāļĐāļāļ·āđāļ āđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļĢāļ°āļāļąāļāļāļĩāļŦāļĢāļ·āļāļāļĩāļĄāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄāđāļĨāļ°āļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāđāļŠāļāļāļāļĨāļāļēāļāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ āđāļāđāļ āđāļāļĢāđāļāļĢāļĄ SAS, SQL, Machine Learning, Deep Learning, MS āđāļāļīāļāļĨāļķāļ āđāļĨāļ° Python āđāļāđāļāļāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļŠāļĢāđāļēāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļēāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
āļāļąāļāļĐāļ°:
Financial Modeling
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āđāļāļīāļāļĢāļąāļāļŠāļĄāļąāļāļĢāđāļāļāļģāđāļŦāļāđāļ Senior Officer - Vice President.
- āļāļģāļāļēāļĢāļāļ·āđāļāļāļēāļĒāđāļāļīāļāļāļĢāļēāļāđāļēāļāļāļĢāļ°āđāļāļĻ (FX Spot, Forward, Options) āđāļĨāļ°āļāļēāļĢāļāļģāļāļļāļĢāļāļĢāļĢāļĄāļāļāļļāļāļąāļāļāđāļāļ·āđāļāđ āļĢāļ°āļŦāļ§āđāļēāļāļāļāļēāļāļēāļĢāđāļĨāļ°āļĨāļđāļāļāđāļē āđāļāļĒāļāļĢāļāļāļāļĨāļļāļĄāļāļķāļāļĨāļđāļāļāđāļēāļĢāļēāļĒāļĒāđāļāļĒ āļāļĢāļīāļĐāļąāļāļŊ āļāļāļēāļāđāļĨāđāļ āđāļĨāļ°āļāļāļēāļāļāļĨāļēāļ āļāļĨāļāļāļāļāļĨāļđāļāļāđāļēāļŦāļāđāļ§āļĒāļāļēāļāļĢāļēāļāļāļēāļĢāđāļĨāļ°āļĢāļąāļāļ§āļīāļŠāļēāļŦāļāļīāļ.
- āļāļģāļāļēāļĢāļāļ·āđāļāļāļēāļĒāđāļāļīāļāļāļĢāļēāļāđāļēāļāļāļĢāļ°āđāļāļĻ (FX āđāļĨāļ° Bank Note) āļĢāļ°āļŦāļ§āđāļēāļāļāļāļēāļāļēāļĢāđāļĨāļ°āļĨāļđāļāļāđāļēāļāļīāļāļīāļāļļāļāļāļĨāļĢāļąāļāļāļāļļāļāļēāļ / āļāļļāļāļāļĨāļĢāļąāļāļāļāļļāļāļēāļāļāļēāļāļāļāļēāļāļēāļĢāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āļĢāļ§āļĄāļāļķāļ āļāļīāļāļīāļāļļāļāļāļĨāļĢāļąāļāļāļāļļāļāļēāļāđāļĨāļ°āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļāđāļāļāđāļēāļāļāļĢāļ°āđāļāļĻ.
- āļāļīāļāļāļēāļĄāļāđāļēāļ§āļŠāļēāļĢāļāļēāļĢāđāļāļĨāļ·āđāļāļāđāļŦāļ§āļāļāļāļāļĨāļēāļāđāļāļīāļ āļĢāļēāļĒāļāļēāļāļāļ§āļēāļĄāđāļāļĨāļ·āđāļāļāđāļŦāļ§ āđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāđāļēāļ§āļŠāļēāļĢāļĢāļ°āļŦāļ§āđāļēāļāļ§āļąāļ āđāļĨāļ°āđāļāđāļāļāđāļēāļ§āļŠāļēāļĢāļāļ§āļēāļĄāđāļāļĨāļ·āđāļāļāđāļŦāļ§āļāļāļāļāļĨāļēāļāđāļŦāđāđāļāđāļĨāļđāļāļāđāļē āļāļĢāđāļāļĄāļāļąāđāļāļāļđāđāļĨāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļŦāļēāđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļāļāļĨāļīāļāļ āļąāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļŠāļāļēāļāļāļēāļĢāļāđāđāļĨāļ°āļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļē.
- āļ§āļēāļāđāļāļāļāļēāļĢāļāļĨāļēāļāđāļāļ·āđāļāđāļāļīāđāļĄāļĒāļāļāļāļļāļĢāļāļĢāļĢāļĄāđāļĨāļ°āļāļēāļāļĨāļđāļāļāđāļē āđāļĨāļ°āļāļģāļāļģāđāļĢāļāļēāļāļāļēāļĢāļāļēāļĒāļāļĨāļīāļāļ āļąāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāļāļēāļĄāđāļāđāļēāļāļĩāđāļāļāļēāļāļēāļĢāļāļģāļŦāļāļ āđāļāļĒāļāļīāļāļāļēāļĄāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ (Business Volume āđāļĨāļ° Profit) āđāļāđāļāđāļĨāļ°āđāļāļ·āļāļāđāļāļ·āđāļāļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļ°āļāļĢāļąāļāđāļāļĨāļĩāđāļĒāļāļāļĨāļĒāļļāļāļāđāđāļāļāļēāļĢāļāļģāđāļāļīāļāļāļļāļĢāļāļīāļāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāđāļēāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļŠāļāļāđāļāļ°āļāļĨāļīāļāļ āļąāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļĨāļđāļāļāđāļē.
- āļāļ§āļāļāļļāļĄāļāļēāļĢāđāļāđāļ§āļāđāļāļīāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļļāļĢāļāļĢāļĢāļĄāļāļĩāđāļĨāļđāļāļāđāļēāļĄāļĩāļāļĒāļđāđāļāļąāļāļāļāļēāļāļēāļĢāđāļŦāđāļāļĒāļđāđāļ āļēāļĒāđāļāđāļāļĢāļāļāļāļĩāđāđāļāđāļĢāļąāļāļāļāļļāļĄāļąāļāļī.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļĨāļēāļāļāļļāļ āļāļĨāļēāļāļāļēāļĢāđāļāļīāļāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļāļĢāļīāļāļēāļĢāļāļēāļĢāļāļēāļĒ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļ āļēāļāļāļĨāđāļāļ āđāļĨāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāđāļāļīāļ āļŦāļĢāļ·āļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļļāļĢāļāļīāļāļāļāļēāļāļēāļĢ āđāļĨāļ°āļāļĨāļīāļāļ āļąāļāļāđ.
- āļŠāļēāļĄāļēāļĢāļāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļŦāļē āđāļĨāļ°āđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļāļĨ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļģāđāļŠāļāļ āļāļēāļĢāđāļŦāđāļāļģāļāļĢāļķāļāļĐāļē āđāļĨāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļē āđāļĨāļ°āļāļģāđāļŠāļāļāļāļĨāļīāļāļ āļąāļāļāđāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļĨāļđāļāļāđāļēāđāļāđ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
āļāļąāļāļĐāļ°:
Compliance, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Invite and give in the moment feedback in a constructive manner.
- Share and collaborate effectively with others.
- Identify and make suggestions for improvements when problems and/or opportunities arise.
- Handle, manipulate and analyse data and information responsibly.
- Follow risk management and compliance procedures.
- Keep up-to-date with developments in area of specialism.
- Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
- Build and maintain an internal and external network.
- Seek opportunities to learn about how PwC works as a global network of firms.
- Uphold the firm's code of ethics and business conduct.
- Preferred skills.
- Financial Risk and Regulatory.
- Minimum years experience required.
- 1-2 years.
- Additional application instructions.
- Good Command of english.
- Education (if blank, degree and/or field of study not specified).
- Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
- Required Skills.
- Optional Skills.
- Desired Languages (If blank, desired languages not specified).
- Travel Requirements.
- Not Specified
- Available for Work Visa Sponsorship?.
- No
- Government Clearance Required?.
- No
- Job Posting End Date.
- November 30, 2024
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Accounting, Financial Modeling, Financial Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 , āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Assist in setting the future direction of the company and support strategic initiatives.
- Track and oversee the implementation of strategic business plans and develop financial and tax strategies.
- Manage funding requests and the budgeting process.
- Develop performance metrics that support the company's strategic direction.
- Participate in key decision-making as a member of the senior management team.
- Maintain strong relationships with all members of the management team.
- Manage the finance and accounting departments.
- Oversee financial operations of subsidiary companies and international activities.
- Manage third-party functions outsourced to external providers.
- Supervise the company's transaction processing systems.
- Apply best practices in operational processes.
- Oversee the issuance of financial information.
- Report financial performance to the board of directors.
- Identify and mitigate key elements of the company's risk profile and establish reliable control systems.
- Ensure company compliance with all legal and regulatory requirements.
- Ensure record-keeping meets auditor and government requirements.
- Report risk issues to the company's audit committee.
- Maintain relationships with external auditors and review findings and recommendations.
- Monitor cash balances and cash forecasts.
- Arrange for debt and equity financing.
- Track, control, and advise on derivative contracts.
- Bachelor's degree or higher in Accounting, Finance, Business Administration, Economics, or a related field.
- Minimum of 5 years in experience as an Accounting Director in a public company.
- Ability to prepare consolidated financial statements and understanding of both PAEs and NPAEs accounting standards.
- Experience in construction and real estate businesses.
- Experience with ERP accounting systems, specifically NA Vision/SAP.
- Excellent analytical and problem-solving skills.
- Strong leadership, ability to work under pressure, and effective communication skills with other departments.
āļāļąāļāļĐāļ°:
Financial Modeling, Finance, Accounting, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze and evaluate M&A opportunities from business and financial perspectives according to the company s direction.
- Conduct financial modeling, valuation, and return analysis to support strategic decision-making.
- Prepare presentations for the management team and relevant stakeholders.
- Assist in managing all aspects of corporate finance transactions e.g. review of definitive agreements, due diligence, data room preparation etc.
- Coordinate with various departments within ThaiBev Group and work in collaboration with external stakeholders (e.g. advisors) to ensure the projects run smoothly.
- Bachelor s degree or higher in Business Administration, Finance, Economics, Accounting, or related fields.
- Working experience in Investment Banking with a strong know-how in M&A investment.
- Excellent financial, analytical, presentation, interpersonal, and problem-solving skills.
- Competent in working with multiple projects simultaneously and able to complete within the designated timeframe.
- Comfortable with flexible working hours.
- Proficient in English and Thai languages (spoken and written).
- Contact Information K. Nanchanok Ratsamesuntarangkul
- Email: [email protected]
- Company name: Thai Beverage PLC
- Working Location and address: Sangsom1 Building (Vibhavadi Rangsit Rd., Chatuchak, Bangkok).
āļāļąāļāļĐāļ°:
Quantitative Analysis, Compliance, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and implement risk models and methodologies to evaluate and measure financial risk exposure.
- Conduct in-depth quantitative analysis to assess the accuracy and effectiveness of risk models.
- Collaborate with cross-functional teams to validate risk models and ensure compliance with internal and regulatory requirements.
- Monitor and analyze market trends, risk factors, and economic indicators to refine risk models.
- Use advanced statistical techniques to identify, assess, and quantify financial risks.
- Provide insights and recommendations to optimize risk management strategies based on risk model outputs.
- Assist in the development and implementation of risk management frameworks, policies, and procedures.
- Stay updated with the latest industry developments and advancements in risk modeling techniques.
- Skills and attributes for success.
- To qualify for the role you must have.
- Thai nationality only.
- Minimum of bachelor s degree in accounting, finance, engineering, or another finance-related role.
- New graduates are welcome with internship experience in a similar role or working environment,preferably in professional services or client-facing role.
- Individual with experience in the Banking or Financial industry with experience in either front process, operation process, accounting process or IT will be highly considered.
- Having knowledge about Financial Modeling / Credit Risk and Coding Skills are a must.
- Ideally, you ll also have.
- Individual with an experience in Banking or Insurance industry with experience in either front process, operation process, accounting process or IT will be highly considered.
- We currently are seeking a highly motivated individual to work on multiple client engagements, work with a wide variety of clients to deliver professional services, and lead business development activities.
- What we offer.
- We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
- Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You ll be embraced for who you are and empowered to use your voice to help others find theirs.
- If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
- The exceptional EY experience. It s yours to build.
- EY | Building a better working world.
- EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
- Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
- Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
āļāļąāļāļĐāļ°:
Finance, Accounting, Budgeting, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- A bachelor's degree or higher in Finance, Economics, Accounting or Engineering.
- Ability to do valuation methods.
- Working experience in financial modelling is preferred but new graduates are also welcome.
- Proven track record excelling in financial / business modelling as a core strength.
- Strong understanding of concepts of accounting, finance theory and analysis, risk and return, capital budgeting and financial strategies.
- Excellent communication skills both in Thai and English.
- Sound business acumen.
- Commercially savvy.
- Strong logical reasoning and analysis skills.
- Project finance / PPA or impairment testing experience.
- CFA.
- Prior consulting / professional services experience.
- Relevant sector transaction experience.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop new skills outside of comfort zone.
- Act to resolve issues which prevent the team working effectively.
- Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
- Analyse complex ideas or proposals and build a range of meaningful recommendations.
- Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
- Address sub-standard work or work that does not meet firm's/client's expectations.
- Use data and insights to inform conclusions and support decision-making.
- Develop a point of view on key global trends, and how they impact clients.
- Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
- Simplify complex messages, highlighting and summarising key points.
- Uphold the firm's code of ethics and business conduct.
- Preferred skills.
- Financial Risk and Regulatory.
- Minimum years experience required.
- 5 years of experiences.
- Additional application instructions.
- Good Communication in English.
- Education (if blank, degree and/or field of study not specified).
- Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
- Required Skills.
- Optional Skills.
- Desired Languages (If blank, desired languages not specified).
- Travel Requirements.
- Not Specified
- Available for Work Visa Sponsorship?.
- No
- Government Clearance Required?.
- No
- Job Posting End Date.
- December 31, 2024
āļāļąāļāļĐāļ°:
Market Research, Research, Financial Modeling, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
- Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
- Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
- Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
- Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
- Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
- Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
- Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
- Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
- Strong analytical skills with proficiency in market research and business modeling.
- Experience with analysis tools such as Excel, Power BI, Tableau.
- Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
- Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
- Good command in English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Business Development, Statistics, Finance, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop, maintain, and calibrate existing quantitative risk models, including provisioning models and credit scoring tailored to various portfolio types and financial institutions.
- Perform both conceptual and quantitative reviews of models, including validation, using programming scripts or automated tools.
- Provide business insights on post-model adjustments, such as management overlays.
- Research risk management topics and stay updated on recent industry developments.
- Prepare comprehensive model documentation, reports, or presentations to communicate methodologies and results to clients.
- Effectively convey observations, results, thoughts, and initiatives to client stakeholders in both Thai and English through proficient presentation during virtual and in-person meetings as needed.
- Propose innovative ideas to enhance team efficiency and effectiveness.
- Collaborate with colleagues and clients across multiple countries, primarily within Southeast Asia.
- Support partners and directors in preparing client proposals under tight deadlines.
- Mentor and onboard junior staff, ensuring the delivery of high-quality work.
- You will be expected to communicate closely with senior management and client personnel; assist in proposal development; mentor and develop junior team members; and maintain up-to-date knowledge of financial risk management methodologies, current corporate governance and regulatory developments/requirements, both locally and internationally
- Your role as a leader:At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Associates / Senior Consultants / Assistant Managers across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
- Respect the needs of their colleagues and build up cooperative relationships.
- Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
- Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
- Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
- Offer insights based on a solid understanding of what makes Deloitte successful.
- Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
- Understand disruptive trends and promote potential opportunities for improvement.
- You are someone with:A degree, preferably in technical engineering, statistics, economics, mathematics, finance, accountancy, or a related field.
- Possess a minimum of 5 years of relevant work experience. A background in banking or financial institutions is preferred, but this can be supplemented with significant knowledge of the financial markets and banking industry.
- Strong knowledge of risk management, with a focus on one of the risk domains namely credit risk, market risk, operational risk and climate risk preferred.
- Ability to work independently and collaboratively with a diverse range of staff on qualitative and quantitative risk management in multitasking and cross-country settings.
- Proficient in data analytics or statistical analysis tools (i.e., Python and SAS), with advanced Excel skills.
- Experience in mentoring and coaching at least 2-3 junior team members.
- Proficient in business-level English, with the ability to communicate ideas and prepare professional client presentations.
- Due to volume of applications, we regret only shortlisted candidates will be notified.
- Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 105622In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Business Development, Financial Modeling, Negotiation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Discover and execute new business partnership opportunities for Cambodia, Myanmar, Indonesia, Vietnam, Philippines, and Malaysia.
- Develop BD strategy and lead/support country BD personnel/initiative to maximize TrueMoney top-line growth.
- Support the study of fintech market trends, analyzing the strategies of business competitors and conducting company s SWOT analysis.
- Act as a trusted advisor and be a sounding board for the business development initiatives and decisions of senior management.
- Secure new project and business development, which including, identifying opportunity, screening, proposal development, bidding and securing project.
- Drive region market growth and success towards OKRs/ targets, with efficient resource allocation and P&L ownership, involving financial modeling for deal analysis and commercial negotiation.
- Work collaboratively with the finance team to determine funding and financing options.
- Drive monthly, quarterly and annual target setting and budgeting processes.
- Develop and implement performance targets and reporting for all country business development function.
- Liaise with other internal and external stakeholders as required.
- Establish and maintain key relationships both internally as well as externally with relevant third parties, contractors and service providers.
- Responsible for the maintenance and enhancement of the current business development of all active markets for Cambodia, Myanmar, Indonesia, Vietnam, Philippines, and Malaysia.
- Bachelor s degree in finance, Business Administration or related fields.
- Minimum 3 years experience in project/business development management (preferably in Fintech).
- Strong analytical skills for market research and competitor analysis.
- Project management skills with a proven ability to set priorities and achieve goals.
- Understanding of financial modeling and deal analysis.
- Excellent written and verbal communication skills in English.
- Effective negotiation and deal-closing skills.
- Ability to build strong relationships and empower a team.
- Ability to work effectively in a cross-functional environment.
- Strong understanding of the global payment industry, new trends, and technology.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Data Analysis, Automation, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
- Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
- Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
- Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
- Collaborate with internal team and partner to scale up development to production.
- Maintain and fine tune existing analytic model in order to ensure model accuracy.
- Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
- Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
- Be Project manager for Data project and manager project scope, timeline, and budget.
- Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
- Control / manage / govern Level 2 support, identify, fix and configuration related problems.
- Keep maintaining/up to date of data modelling and training model etc.
- Run through Data flow diagram for model development.
- EDUCATION.
- Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
- EXPERIENCE.
- At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
- Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
- Experience developing and deploying machine learning model in production environment.
- Knowledge in oil and gas business processes is preferrable.
- OTHER REQUIREMENTS.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Financial Analysis, Business Development, Financial Modeling, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Gathering global LNG market information, analyzing important indicative LNG trend and regularly updating information to the team.
- Performing market trend analysis in LNG / Gas supply and analyzing strategies of business competitors.
- Identifying new opportunities for GULF to expand gas business abroad and preparing letters and agreements (e.g. Head of Agreement, Term sheet, Definitive Agreement) to support the project negotiation and development.
- Supporting gas supply team in relevant tasks; LNG supply, contract management, risk allocation/ management and streamline gas supply operation from LNG procurement to gas delivery.
- Liaising between gas supply and shipper operation team.
- Coordinating with relevant business units i.e. legal, AMD and engineering team, and identifying risks and preventive solutions in existing and potential projects.
- Conducting and preparing documents for the LNG procurement / project bidding proposal.
- Preparing papers/ presentations in relation to the potential project(s) for management s report.
- Reporting project status for the executive and board of committee.
- Other works as assigned in relation to business development.
- Job Qualifications.
- Bachelor s degree or higher in Engineering, Energy, Business Administration, Finance, Economic or related fields.
- Minimum 3 years experience in financial analysis.
- Experience in Power generation or Energy sector especially Gas or LNG would be an advantage.
- Strong business development, project development and corporate planning knowledge with commercial mind.
- Effectively persuading and negotiation business terms both written and verbally.
- Strong financial modelling skills.
- Ability to present analytical conclusions through both written and verbal reports.
- Interpersonal relationship skills, ability to communicate with people of different cultures and backgrounds.
- Organizational and time-management skills.
- Ability to travel/ work upcountry and abroad.
- Fluent in English both written and verbal (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Financial Modeling, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Securing funding to support operation in term of short-term loan or working capital loan and equity investment in term of corporate loan, bonds and raise equity.
- Building consolidated Financial Model to support in Corporate Finance strategy, including developing and implementing annual strategic operating plans, resource requirements, and revenue/operating income targets.
- Providing support in annual operating and business fiscal plans (budgets).
- Managing loan agreement in order to ensure confidence that the company can make the loan drawdown, pay back the principle, interest, and dividend up to expectation and ensure compliance with all covenants under loan agreements.
- Preparing overall corporate specific deliverables related to financial information or contractual requirements for BOD/shareholders/bankers.
- Ensuring timely and accurate financial reports and plans and presenting them to the Managements to increase financial transparency in management reporting.
- Performing financial analysis for the company financial status planning and controlling to comply with conditions of all stakeholders conditions (Lenders, Shareholders).
- Job Qualifications.
- Master s degree in Finance, Accounting, Business Administration or related fields.
- Minimum 2 - 4 years experience in banking or corporate finance function in any companies.
- Experience in corporate finance or investment banking is required.
- Good financial planning and financial model knowledge.
- Ability to use MS Excel.
- Experience in power generation, renewable energy, hydropower, gas and infrastructure & utilities would be an advantage.
- High accountability, strong analytical skills, and confidence in turning facts into recommendations.
- Creativity, problem solving skills, negotiation and systematic thinking.
- Fluent in English both written and verbal (Minimum 750 TOEIC score).
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Financial Analysis, Financial Modeling, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Securing project financing, issuing project information memorandum, negotiating project financing terms and loan documentation.
- Building financial models on responsible projects to update actual performance as well as to prepare financial analysis on various assigned scenarios.
- Analyzing actual operating results and identifying key financial and operating issues to be addressed; quantifies actual results versus forecast.
- Providing loan sources and/ or other financial instrument as well as negotiating with financial institutions in order to get low financial cost under the best terms and conditions.
- Managing loan agreement in order to ensure confidence that the company can make the loan drawdown, pay back the principle, interest, and dividend up to expectation.
- Preparing of financial information for BOD/ shareholders/ bankers.
- Studying and keeping updated the financial market and the development of financial instruments to ensure that the right financial instruments have been used to manage risk at the right timing for maximum benefits to the company.
- Performing financial analysis for the company financial status planning and controlling to comply with conditions of all stakeholders conditions (Lenders, shareholders).
- Managing loan and credit facilities arrangement, including loan terms, project finance, and/ or trade finance and/ or factoring.
- Ensuring the compliance with all covenants under loan agreements.
- Job Qualifications.
- Master s degree in Finance, Accounting, Business Administration or related fields.
- Minimum 2 - 4 years experience in banking or corporate finance function in any companies.
- Experience in project finance is required.
- Good financial planning and financial model knowledge.
- Ability to use MS Excel.
- Experience in power generation, renewable energy, hydropower, gas and infrastructure & utilities would be an advantage.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Project Management, Financial Analysis, Production planning
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Perform preliminary feasibility study/ feasibility of assigned projects on technical or non-technical aspects and coordinate with concerned parties.
- Develop strategic objective, execution roadmap, potential business model.
- Drive, monitor, manage as well as report overall consolidated projects progress to ensure business plan achievement.
- Update market & technical trend.
- EDUCATION.
- Bachelor or higher in Chemical Technology, Engineering & MBA.
- EXPERIENCE.
- At least 3 years experiences in petroleum/petrochemical business or related, project management and financial analysis & valuation is advantageous.
- Knowledge in production planning and Linear Programming (LP) is a plus.
- Able to work overseas.
- OTHER REQUIREMENTS.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SAP, Compliance, Risk Management
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
- Knowledge of data platform concept, data lake.
- Advanced knowledge of data management life cycle.
- Good communication, strong analytical and problem-solving skills.
- At least 5 years of working experience in data governance or data management.
- Experience in design of data platform, data engineer.
- Experience business-driven data governance practices implementation.
- Experience with on premised and cloud service eg AWS, Azure, SAP.
- Experience with data pipeline and data management tools.
- Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
- EDUCATION.
- Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or related discipline.
- OTHER REQUIREMENTS (FOR RECRUITMENT).
- ROLE & RESPONSIBILITY.
- Develop Data Governance Framework and data management strategy & roadmap.
- Develop data policy, rules and regulations to control data management standard control ensure compliance with data management, data privacy and global regulations.
- Take the lead in managing data governance framework, data policy and standards with a focus on establishing and ensuring organization adherence to an enterprise data governance framework.
- Partner with Risk Management, Security and Compliance teams to identify related regulatory requirements and implications such as PDPA/GDPR and drive gap assessment and improvement to data policy, standards and governance processes.
- Develop and own the data sharing principles, operational model and process to govern data exchanges with external data ecosystem.
- Review and advise on data sharing to 3rd parties to approval protocol, data usage conditions, as well as data minimization practice.
- Communicate and engage various projects to ensure activities of data management in assigned projects to comply with data management standard and controls.
- Provide stakeholders a thorough advice on data accessibility, and/or data management based on deep understanding of data use cases, data Lake and its ecosystem architecture.
- Drive Data Stewardship and Data Governance program and enterprise-wide data governance awareness throughout the organization including identifying a phased approach to progress and mature the program.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
ETL, Quantitative Analysis, Industry trends
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Translating business requirements to technical solutions leveraging strong business acumen.
- You will be a core member of the EY Microsoft Data and AI team, responsible for extracting large quantities of data from client s IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
- Apply expertise in quantitative analysis, data mining and presentation of data to de ...
- Extremely flexible and experience managing multiple tasks and priorities on deadlines.
- Applying technical knowledge to architect solutions that meet business and IT needs, create Data Platform roadmaps, and enable the Data Platforms to scale to support additional use cases.
- Staying abreast of current business and industry trends relevant to the client's business.
- Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
- Understanding customers overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
- Strong team collaboration and experience working with remote teams.
- Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
- Demonstrated significant professional experience of commercial, strategy and/or research/analytics interacting with senior stakeholders to effectively communicate insights.
- Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools.
- Provide directional guidance and recommendations around data flows including data technology, data integrations, data models, and data storage formats.
- To qualify for the role, you must have.
- Bachelor s degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
- Minimum of 3-5 years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles. New graduated are welcome!.
- Communication and critical thinking are essential, must be able to listen and understand the question and develop and deliver clear insights.
- Experience communicating the results of analysis to both technical and non-technical audiences.
- Independent and able to manage and prioritize workload.
- Ability to adapt quickly and positively to change.
- Breadth of technical passion, desire to learn and knowledge services.
- Willingness and ability to travel to meet client if need.
- Ideally, you ll also have.
- Experience working business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
- Ability to communicate clearly and succinctly, adjusts to a variety of styles and audiences with ability to tell compelling stories with the data.
- Experience with C#, VBA, JavaScript, R.
- A vast understanding of key BI trends and the BI vendor landscape.
- Working experience with Agile and/or Scrum methods of delivery.
- Working experience with design led thinking.
- Microsoft Certifications in the Data & AI domain.
- We re interested in passionate leaders with strong vision and a desire to deeply understand the trends at the intersection of business and Data and AI. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
- What we offer.
- We offer a competitive compensation package where you ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you ll decide how much vacation time you need based on your own personal circumstances. You ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You ll be embraced for who you are and empowered to use your voice to help others find theirs.
- If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
- The exceptional EY experience. It s yours to build.
- EY | Building a better working world.
- EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
- Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
- Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
- EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for perfoming safe mooring/unmooring and controlling cargo operation.
- Improve and enhance marine safety, security, rule and regulation, conventional, and environment.
- Perform as On Scene Commander (OSC) or Marine Advisor when has an oil spill incident.
- EXPERIENCE.
- At least 5 years experiences in Master tanker operation or Have experience in large tanker handling either mooring, unmooring and cargo operation at least 2 years are consideration.
- Attended Manned Model course and Oil spill IMO level 2 and 3 are advantageous.
- EDUCATION.
- B.Sc or equivalent in Naval Academy, Merchant Marine Training Center, University in marine operation branch.
- Hold class 1 (Deck) master mariner.
- Age 30-38 years old.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Procurement, Project Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Ensure comprehensive analysis of all technical data, including detailed seismic interpretation and mapping, to iden-tify optimal delineation, development well, and platform locations.
- Integrate geological studies to enhance understanding of the geological framework in the development area, sup-porting accurate resource assessment and the identification of the best well and platform locations.
- Provide geological and subsurface uncertainty inputs for the field development plan ...
- Prepare and oversee delineation and development drilling activities, including the development of work programs, well proposals, monitoring of drilling operations, and post-well evaluations, ensuring alignment with studies and pro-ject objectives.
- Evaluate horizontal well opportunity by detailed reservoir analysis e.g. tank correlation, reservoir pressure & con-nectivity, sand mapping, reservoir characterization, HCIP estimation & economic analysis, Horizontal well planning & targeting, pre-job modelling.
- Execute horizontal well operations including preparation phase, drilling operations monitoring, and post-drilled evaluation / HCIP & reserves booking.
- QA/QC geophysical technical works and perform as leadership role for oil development team.
- Professional Knowledge & Experiences.
- Bachelor s degree or higher in Geosciences or a related field.
- 15+ years of experience in the E&P business, specializing in subsurface tools and technologies.
- Strong understanding of the Gulf of Thailand (GOT) petroleum system, with familiarity in the well factory concept and processes.
- Extensive experience in oil and gas reservoir development, including well planning and targeting, monitoring, and execution of deviated and horizontal wells within the GOT.
- Highly require experience in reservoir management and EOR.
- Experience working in Block G1/61 (Erawan, Platong, Satun, or Funan) is an advantage.
- Proficient in subsurface software (e.g., Petrel, DSG) and related systems.
- Knowledge of seismic acquisition and processing is a plus.
- Experience in special geophysical studies, such as AVO, is a plus.
- Familiarity with procurement, contract preparation, and evaluation is an advantage.
- Excellent communication and interpersonal skills.
- Good project management skill is required.
- Strong problem-solving abilities and a proactive approach to challenges.
- Ability to mentor and lead teams of geophysicists and other technical professionals.
- Ability to work in a dynamic, fast-paced offshore environment with a focus on delivering results.
- Strong written and verbal communication skills in English.
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2024
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