เงื่อนไขการค้นหา

ทักษะ:

Accounting, English

ประเภทงาน:

งานประจำ

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

ประเภทงาน:

งานประจำ

• About the Role.
• We're looking for a Data Analyst Junior or Senior to join our MarTech & Data Intelligence team. You'll work with Marketing, Operations, and Product to turn behavioral and transactional data into insights that drive campaign performance, smarter segmentation, and lifetime value growth.
• If you're sharp, meticulous, and energized by making data work harder for the business we'd love to meet you.
• Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels.
• Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders.
• Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing.
• Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes.
• Work with cloud data platforms to query, process, and manage large-scale customer and event datasets.
• Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations.
• Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms.
• Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic.
• Proactively surface anomalies in customer data traffic drops, conversion shifts, attribution gaps before they affect decisions.
• Who you are.
• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

ทักษะ:

Power BI, Tableau, Finance, English

ประเภทงาน:

งานประจำ

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor s degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

ประเภทงาน:

งานประจำ

• Implementing and maintaining the deterministic or stochastic Prophet model, data conversion system, and database infrastructure to support actuarial analysis and reporting processes.
• Providing support in the Prophet modelling and data delivery processes to facilitate the fast-close initiative.
• Implementing new products into the deterministic Prophet model and enhancing the data conversion system and/or database infrastructure to support the new product implem ...
• Providing support to facilitate the implementation and testing of ad-hoc model and data change requests and/or project deliverables.
• Investigating, testing and resolving the Prophet model and/or data issues associated with new product implementation, ad-hoc model and data change requests, etc.
• Identifying and communicating about risks and issues in the Prophet modelling and data delivery processes.
• Preparing documentation of changes to the Prophet model, data conversion system, and database.

ประเภทงาน:

งานประจำ

• Department: Data Commercialization.
• As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We measure every single touch point to improve customer service and business performance. ...
• Job Responsibilities.
• Conduct data inventory research with product owner, business owner and IT BA to gain full understandings of data availability.
• Communicate with business owners to translate business problem/challenge into actionable analytical solution.
• Initiate EDA ideas to tag hidden opportunities for customer, product, channel and other various areas.
• Analyse digital and traditional user journey funnel and customer persona.
• Visualise data for fast decision making and insight interpretation.
• Define customer segmentations for strategy planning and marketing targeting.
• Plan holistic A/B testing campaigns to evaluate data values on business impact.
• Design and fulfill monitoring dashboards and automated reports.
• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ประเภทงาน:

งานประจำ

• Department: Data Commercialization.
• Data Innovation team under Infinitas is a centralized data enabler to serve both digital and traditional arms of Krungthai Bank. Working as a data scientist here, you would be able to leverage huge amount of financial transaction and customer digital footprint data to improve our personalized solutions accessed by more than 40 million customers. Over a wide range of undergoing projects, there are many interesting ML tasks waiting for you. These cover recommendation, optimization, and prediction solu ...
• Job Responsibilities.
• Brainstorm with Business User and Data Analyst to propose practical ML solution for solving business problems.
• Translate problem statement into model requirements and action plans.
• Adopt agile development approach to deliver prompt solutions phase by phase.
• Conduct EDA and feature engineering from both raw and aggregate data sources.
• Maintain, enrich, and expand ML data feature pools.
• Develop quantitative models to solve estimation, prediction, or optimisation problems.
• Work with experienced business experts to develop heuristic models to handle cold start or insufficient data situations.
• Design complete score validation framework throughout the model life cycle.
• Measure model performance and monitor feature shifting in production environment.
• Work with ML Engineer or Data Engineer to optimise scoring processing time.
• English as working language.
• Minimum of 3 years of data field working experiences.
• At least 1-year hands-on modeling experiences.
• Proficient in Python, good at SQL.
• Strong logical thinking and creative thinking.
• Independently work on end-to-end ML process.
• Solid record of successful model development with business impact in production.
• Fintech, big tech or banking industry.
• Real time ML model deployment experiences.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Statistics / Analysis

ประเภทงาน:

งานประจำ

• อายุไม่เกิน 40 ปี บริบูรณ์ (นับถึงวันที่ปิดรับสมัคร).
• สามารถวิเคราะห์ข้อมูลทางธุรกิจ (Business Analytics) หรือการจัดทำข้อมูล (Data Engineer) หรือการวิเคราะห์ข้อมูล (Data Scientist / Data Analytics) เกี่ยวกับข้อมูลด้านบุคลากรของสถาบันการเงินหรือองค์กรขนาดใหญ่ และการบริหารจัดการระบบ HRIS ของสถาบันการเงินหรือองค์กรขนาดใหญ่.
• ไม่น้อยกว่า 3 ปี สำหรับผู้จบปริญญาตรี หรือ.
• ไม่น้อยกว่า 2 ปี สำหรับผู้จบปริญญาโท.
• มีความสามารถในกระบวนการแปลงข้อมูลที่ซับซ้อน และการแสดงภาพข้อมูล (Data Visualization) และการเล่าเรื่องด้วยข้อมูล (Data Storytelling) หรือการสื่อสารข้อมูลเชิงลึก (Data Insight)
• ผ่านการใช้งานเครื่องมือ SQL / Python / Power Query / Power BI / Tableau / Data Studio เป็นต้น ได้เป็นอย่างดี.
• มีความรู้ความเข้าใจระบบจัดการฐานข้อมูล (DBMS) หรือสามารถใช้งานฐานข้อมูล SQL Server
• เพื่อการการวิเคราะห์ข้อมูลได้.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม Microsoft Office หรือเทคโนโลยีสารสนเทศ เช่น AI, Machine Learning, n8n, Power Automate เป็นต้น.
• มีทัศนคติเชิงบวก มีความรับผิดชอบสูง ทำงานเป็นทีม มีมนุษสัมพันธ์ดี มีทักษะการสื่อสาร ประสานงานที่ดี และวิเคราะห์ปัญหาได้ดี.
• มีความกระตือรือร้นในการศึกษาหาความรู้ด้านเทคโนโลยีสารสนเทศที่เกี่ยวข้องกับงาน
• และพัฒนาตนเองอยู่ตลอดเวลา.
• หากมีประสบการณ์ในการวิเคราะห์ข้อมูล และการบริหารจัดการระบบ HRIS หรือการพัฒนาระบบงาน HR Dashboard ภายในองค์กรขนาดใหญ่/องค์กรรัฐ/สถาบันการเงิน จะได้รับการพิจารณาเป็นพิเศษ.
• สามารถสมัครได้ที่: https://recruit.ghbank.co.th/sap/bc/webdynpro/sap/hrrcf_a_startpage_ext_cand?sap-client=900&sap-language=TH.
• ทั้งนี้ เปิดรับสมัครถึงวันที่ 27 กรกฎาคม 2569 เท่านั้น.

ทักษะ:

SQL, Visio, Microsoft Office

ประเภทงาน:

งานประจำ

• For all RDT s requirement and enhancement, Provide data availability analysis, data source, data extraction criteria, sign off all the RDT changes, testing and ensure the correct result, together with related Domain expert, Data owner and support functions.
• Propose solutions to resolve issues/requirements and confirm final data extraction logic with IT-RDT team.
• Support and/or manage day-to-day DQ issue and/or questions from BOT, and provide sol ...
• Maintain RDT Center parameters.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance more than 6 years for team lead.
• Experience in regulatory data management,its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
• Well-versed in RDT regulation literacy.
• Advance Business Analytical skill, Business Rules and Business Solutions.
• Advance Data Model Mindset.
• Advance SQL/ Visio.
• Microsoft Office: Excel/ Word/ Power Point.
• Data profiling with variety data sources.
• Ad-hoc management.
• Well interpersonal skill with IT/Domain Expert/Data Owner.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Assurance, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Perform Anti-Financial Crime (AFC) data analytics (including AML and FATCA/CRS) to identify anomalies, potential risks, and system gaps across business processes.
• Validate system configurations and data controls to ensure full alignment with AFC regulatory requirements and internal compliance standards.
• Analyze complex datasets to detect trends, patterns, and emerging risks, and translate findings into actionable insights for risk mitigation.
• Conduct quality assurance (QA) reviews on AFC-related processes and high-risk cases to ensure accuracy, completeness, and compliance with policy and regulatory requirements.
• Document findings and escalate material issues with clear, actionable recommendations to strengthen controls and improve compliance effectiveness.
• FATCA Case Management & Questionnaire Review.
• Review and consolidate FATCA Questionnaire responses from Underwriting (UI), Policy Owner Services (PO), and Claims departments for COO approval prior to submission to Compliance.
• Review and summarize FATCA cases recorded in the manual log, ensuring completeness and accuracy of case documentation.
• Maintain organized records of all FATCA-related activities to support audit readiness and regulatory reporting.
• Management Information (MI) Reporting.
• Prepare analytical reports for Management and Compliance (BU Report) covering alerts backlog, system stability, and data reconciliation exceptions.
• Generate MI (Management Information) report and distribute to Group Office management team (GO Report) on a regular cadence.
• Deliver BU and GO analytical & MI reporting to senior management (BU CEO, CTO, Head of Data, COO, CCO).
• Design and develop reports and dashboards to visualize risk and compliance metrics in a clear, digestible format for executive audiences.
• Cross-Functional Collaboration & Continuous Improvement.
• Drive cross-functional collaborations with Technology, Data, Operations, and Compliance to strengthen data analytics capabilities and support business decision-making.
• Proactively identify opportunities to improve data quality, reporting efficiency, and analytical processes.
• Create and maintain documentation including requirements, data definitions, business rules, and Standard Operating Procedures (SOPs).
• Bachelor's degree or higher in Computer Science, Data Science or related fields.
• At least 5 years in data analytics, business intelligence, or MIS role, preferably in insurance or financial services.
• Experience with AML/CTF/FATCA/CRS regulatory frameworks is highly preferred.
• Preferred Certified Anti-Money Laundering Specialist (CAMS) or relevant AML/Compliance certification.
• Skilled in Advanced Excel, SQL, Power BI and RPA (UiPath and/or Power Platform).
• Excellence communication in Thai and English (Need to communicate with Group office in HK).

ทักษะ:

SAP, Good Communication Skills, Analytical Thinking

ประเภทงาน:

งานประจำ

• Design, implement and deploy SAP solutions to achieve defined business goals.
• Be part of the project deliver team, leading and support implementation.
• Responsible to create requirement traceability matrix, design documents, test scripts.
• Drive discussion with client business during blueprint phase to gather requirements, solution design sign off, demo of configured solution, final UAT sign off.
• Maintain skills in SAP applications process design and configuration.
• SAP application design, development, integration, testing, deployment and technical architecture.
• Use Data Services to support client.
• Manage small teams and or work efforts if in an individual contributor role at a client or within Accenture.
• At least 3 years of experience in SAP modules such as FICO, FI-Treasury, FM, CO, MM, PS, PM and Data Migration or other SAP modules.
• Experience with S/4 Hana is preferred.
• Have good communication skills.
• Have good logical and analytical thinking.
• We're hiring Analyst to Senior Manager Levels.

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment..

ทักษะ:

ETL, Big Data

ประเภทงาน:

งานประจำ

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

ทักษะ:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Statistics, SQL, Excel

ประเภทงาน:

งานประจำ

• Analyze collections portfolio performance (e.g., delinquency rates, roll rates, recovery rates) and provide actionable insights.
• Develop and maintain dashboards and reports to track collections KPIs and agent performance.
• Identify trends, risk segments, and behavioral patterns to improve collections strategies.
• Support strategy design such as segmentation, prioritization, and treatment optimization.
• Collaborate with Collections teams to translate business needs into analytical solutions.
• Perform ad-hoc analysis to support decision-making and ongoing initiatives.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Automate reporting processes to improve efficiency and reduce manual work.
• QualificationsBachelor s degree in Data Analytics, Statistics, Mathematics, or a related field.
• 2-4 years of experience in data analysis (experience in collections, banking, or financial services is a plus).
• Strong proficiency in SQL and Excel; experience with Python, R, or BI tools (e.g., Power BI, Tableau) is preferred.
• Good understanding of collections business is an advantage.
• Strong analytical thinking and problem-solving skills.
• Ability to communicate insights clearly to non-technical stakeholders.
• Detail-oriented with a high level of accuracy.

ประเภทงาน:

งานประจำ

• We're committed to bringing passion and customer focus to the business.
• Collaborate across the business to understand IT and business constraints Work with product team and data engineer to plan and design data collection strategies, procedures and policies.
• Understand new data sources and process pipelines, and catalog/document them.
• Help to create data pipelines for more efficient and repeatable data science projects.
• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA).
• Construct and test hypothesis regarding an underlying mechanic of business process.
• Apply various ML and advanced analytics techniques to perform classification or prediction tasks.
• Testing of ML models, such as cross-validation, A/B testing, bias and fairness.
• Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!.

ทักษะ:

Tableau, Automation, Finance, English

ประเภทงาน:

งานประจำ

• Own end-to-end ASEAN data collection, validation, consolidation, and reporting processes.
• Ensure data accuracy, consistency, and integrity across ASEAN subsidiaries and functional teams.
• Develop and maintain management reports, dashboards, and performance monitoring tools on a weekly and monthly basis.
• Dashboard & Analytics.
• Design and maintain Tableau dashboards for executive management.
• Translate business requirements into meaningful analytics and actionable insights.
• Identify trends, risks, opportunities, and performance gaps through data analysis.
• Automation & Process Improvement.
• Lead reporting automation initiatives to improve efficiency and reduce manual processes.
• Continuously improve data workflows, reporting architecture, and information management practices.
• Stakeholder management.
• Coordinate with ASEAN subsidiaries and cross-functional teams including Risk, Finance, Compliance, IT, HR, Audit and Fraud.
• Establish reporting requirements, timeliness, and governance standards.
• Manage stakeholders expectations and resolve reporting issues proactively.
• Knowledge Management & Continuity.
• Maintain reporting documentation, data dictionaries, and process manuals.
• Ensure business continuity and knowledge transfer across reporting platforms and reporting cycles.
• Bachelor s degree in Computer Science, Data Science, Information Technology, or a related field. A master s degree in a related field is beneficial.
• Proven ability to lead and manage BI and automation projects from conception through to completion.
• Strong analytical skills, with the ability to interpret complex data and provide actionable insights.
• Excellent communication and presentation skills, capable of conveying complex information to non-technical stakeholders.
• Strong project management skills, including the ability to manage multiple projects simultaneously.
• Proficient in computer literacy, especially tools for data analytics.
• Good command of English, both written and spoken.
• Talent Acquisition Department Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINE: Krungsri Career..

ทักษะ:

Automation, Big Data

ประเภทงาน:

งานประจำ

• Define & Implement Data Strategy: Formulate, communicate, and execute the overall data strategy, ensuring its alignment with the bank's business objectives and regulatory requirements.
• Establish Data Governance: Lead the Data Governance Council (DGC) to define and enforce data governance policies, standards, and procedures. This encompasses ensuring data quality, security, privacy, and compliance with regulations like the Personal Data Protection Act (PDPA) and Bank of Thailand (BOT) guidelines across the entire org ...
• Drive Data Analytics & AI/ML Innovation: Oversee the strategic direction and execution of data architecture, data engineering, data analytics, and data science functions. You will spearhead the development and deployment of advanced AI/ML models for critical banking functions such as credit scoring, customer segmentation, marketing automation, and fraud detection.
• Manage Data Platforms & Infrastructure: Guide the deployment and localization of scalable, cloud-native data platforms (e.g., WeBank s WeDataSphere) and the design of standardized APIs to ensure seamless data sharing and integration capabilities.
• Champion Open Banking & Data Sharing: Drive the adoption and effective utilization of open banking data frameworks, establishing consent-based data sharing mechanisms to enhance customer experience and foster healthy market competition.
• Foster Data Culture & Collaboration: Cultivate a strong data-driven mindset and promote ethical data use across all departments. You will lead the Data Center of Excellence (CoE), functioning as a catalyst for cross-departmental collaboration on high-impact data projects that align with the strategic objectives.
• Talent Development & Knowledge Transfer: Collaborate with the Human Resources department to uplift and train Thai nationals in advanced data capabilities, facilitating crucial knowledge transfer from international consortium partners such as WeBank and KakaoBank.
• Data Monetization: Develop and implement sustainable strategies for data monetization while rigorously upholding ethical standards and ensuring customer trust.
• Extensive Leadership Experience: A proven track record (10+ years preferred) in senior data management, data analytics, and AI/ML leadership roles, with substantial experience in the banking, digital finance, or fintech industry, ideally within a virtual bank environment.
• Deep Technical Expertise: Profound understanding and practical experience with Big Data technologies, AI/ML methodologies, data architecture design, and comprehensive data governance frameworks.
• Regulatory & Security Acumen: Solid knowledge of data privacy regulations (e.g., PDPA) and cybersecurity best practices specifically pertaining to data handling within a financial services context.
• Strategic & Analytical Mindset: Demonstrated ability to translate complex data into actionable insights and drive strategic initiatives that significantly contribute to business growth and innovation.
• Exceptional Leadership & Collaboration Skills: Outstanding capability to lead multidisciplinary teams, influence stakeholders at all levels, and foster effective cross-functional collaboration, including working seamlessly with international consortium partners.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Good Communication Skills, High Responsibilities, Problem Solving, Service-Minded, Thai

ประเภทงาน:

งานประจำ

• วางแผน ควบคุม และติดตามการดำเนินงานของทีม Admin และทีม Operation ให้เป็นไปตามเป้าหมาย.
• มอบหมายงาน ติดตามความคืบหน้า และแก้ไขปัญหาที่เกิดขึ้นในแต่ละวัน.
• พัฒนา ปรับปรุง และควบคุมมาตรฐานการทำงาน (SOP) เพื่อเพิ่มประสิทธิภาพในการดำเนินงาน.
• ควบคุมงาน Stock และการจัดส่ง (Stock & Logistics).
• ควบคุมกระบวนการรับสินค้า จัดเก็บ Pick, Pack และจัดส่งสินค้าให้ถูกต้องและตรงเวลา.
• ตรวจสอบความถูกต้องของสต๊อก และติดตามการเคลื่อนไหวของสินค้า.
• ประสานงานกับบริษัทขนส่งและแก้ไขปัญหาที่เกี่ยวข้องกับการจัดส่ง.
• ควบคุมเอกสารและงานด้านภาษี (Tax & Documentation).
• ตรวจสอบเอกสารภาษี และเอกสารที่เกี่ยวข้อง.
• ควบคุมความถูกต้องของเอกสารก่อนส่งให้ลูกค้าและฝ่ายบัญชี.
• ประสานงานกับฝ่ายบัญชีเพื่อให้การดำเนินงานเป็นไปตามข้อกำหนดด้านภาษีและกฎหมาย.
• ดูแลจัดซื้อและสรรหาผู้ให้บริการ (Procurement & Sourcing).
• สรรหา คัดเลือก และเปรียบเทียบราคา Supplier และผู้ให้บริการที่มีคุณภาพ.
• เจรจาต่อรองราคา เงื่อนไขการให้บริการ และระยะเวลาการส่งมอบ.
• จัดทำและติดตามเอกสารการจัดซื้อ เช่น Quotation.
• ประเมินผลการทำงานของ Supplier และสร้างความสัมพันธ์กับคู่ค้า.
• ประสานงานระหว่างหน่วยงาน (Cross-functional Coordination).
• ประสานงานกัหน่วยงานอื่น ๆ เพื่อให้การดำเนินงานเป็นไปอย่างราบรื่น.
• ติดตามความคืบหน้าของโครงการและประสานงานกับลูกค้า คู่ค้า และผู้ให้บริการ.
• แก้ไขปัญหาและบริหารความเสี่ยงที่อาจส่งผลกระทบต่อการดำเนินงาน.
• บริหารทีม (Team Leadership).
• บริหารทีมงาน มอบหมายงาน และติดตามผลการปฏิบัติงาน.
• ให้คำแนะนำ พัฒนาทักษะ และสร้างศักยภาพให้กับทีม.
• ประเมินผลการปฏิบัติงานและกำหนดเป้าหมายการทำงานของทีม.
• ส่งเสริมการทำงานเป็นทีมและสร้างวัฒนธรรมการทำงานที่มีประสิทธิภาพ.