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Experience:

1 year required

Skills:

Finance, Budgeting, Accounting

Job type:

Full-time

• Lead and deliver client engagements and collaborate with senior finance executives, their team and our internal cross line of service teams to determine improvements for existing policies, processes, technologies and organization structure.
• Define and develop strategies, roadmaps, optimal target operating model and deliver finance transformation and change projects which help address our clients evolving needs in the finance function along the dimensions of insight, efficiency and effectiveness, and control.
• Budgeting, Planning, Forecasting,.
• Chart of Accounts, Financial Closing and Consolidation,.
• Profitability & Cost Management,.
• Management Reporting, Business Analytics.
• Support the implementation of relevant technology platforms in the finance function from a functional standpoint such as SAP, Oracle, MS Dynamics, Hyperion, Cognos, Anaplan, Qlikview and Tableau.
• Develop tactical plans to help clients implement these strategies and measure or monitor results.
• Conduct current state performance assessment, root-cause and gap analyses in order to address complex business and finance issues and propose change recommendations.
• Develop deep relationships with key senior finance and management executives to bring the range of Finance and other competency offerings to the client.
• Degree in Accounting/Finance related discipline from a reputable University, with strong skills and experience in finance and treasury processes.
• 15+ years of relevant experience with a Consulting (Finance) background with demonstrated skills in building pipeline, managing projects and communicating effectively with clients and teams; or otherwise with strong industry experience (e.g. Retail, Shipping, Transportation and Logistics, Financial Service, Government and Public Sector, etc.) in the finance function in a business partner role.
• Experience with working on Enterprise Resource Planning (ERP), Enterprise Performance Management (EPM) or Treasury platforms / technologies.
• Strong analytical, interpersonal, leadership and communication skills with a track record of senior executive level engagement.
• Lean / Six-Sigma or equivalent certifications will be advantageous.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Bachelor Degree 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.

Skills:

SQL, Data Warehousing, ETL, English

Job type:

Full-time

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

Experience:

5 years required

Skills:

Data Analysis, Automation, Python

Job type:

Full-time

• 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.

Experience:

No experience required

Job type:

Full-time

• Create, modify, and clean up the database and put in the format that can be utilize to help monitor the portfolio and identify both low risk and high risk segments.
• Providing MIS to help track and monitor the quality of the new booking and the portfolio quality for all retail/consumer lending products including both secured and unsecured products of the Bank and its subsidiaries (the products include personal loan, mortgage, auto, and motorcycle).
• Create reports for senior management to help monitor the performance of the portfoli ...
• Define cut-off score for any Retail Credit Risk Scorecard, swap-in and swap-out segments and monitor performance of the implemented scorecards and strategies to ensure the quality of acquisition population.
• Evaluate impact of strategy changes on profitability (revenue, credit loss, and operation cost) of the portfolio.
• Provide comments and feedback during the retail scorecard development.
• Evaluate non-traditional variables for credit risk strategies.
• Bachelor degree or higher in a numerate discipline ex. engineering, statistics, mathematic, computer science, science.
• SAS, SQL, or other programming language.
• Experience in data analytics, database management, MIS, reporting, MS-Excel, Qlikview, and Tableau is a plus.
• Experience with credit risk, risk management, customer relationship management (CRM), risk modeling, marketing modeling, business intelligent, or retail banking is a plu.
• At least 5 years of relevant experience.
• Good command of English and Thai both written and spoken.
• All applications will be treated strictly confidential. Only short-listed candidates will be notified.
• For the further discussion please contact: Bantita 02-626-7698.
• CIMB Thai Bank Public Company Limited 44 Langsuan Road, Lumpini, Patumwan, Bangkok 10330 Website: www.cimbthai.com.