Job Purpose

• Support the Financial Risk Management team as an additional hands-on operating resource; and
• Learn those operations in sufficient depth to progressively automate manual and repetitive activities using AI-assisted coding, workflow automation, data tools, and Agentic AI.

Key Accountabilities

• Financial Risk Management Operations - Perform and support day-to-day Financial Risk Management activities, including:
• Collect and compile daily market information from multiple systems and from PTTEP's partner financial institutions
• Update internal documents, reports, and spreadsheets supporting daily financial risk management operations
• Reconcile calculations of financial risk management instruments and verify results against counterparty confirmations
• Post transactions to SAP and support month-end and year-end closing activities
• Coordinate with internal teams and partner financial institutions on day-to-day operational matters
• Process Understanding and Improvement - While performing Financial Risk Management operations, the individual should develop detailed understanding of:
• required information and data sources;
• calculation methodologies and system/data flows;
• reconciliations and controls;
• common exceptions and how they are currently identified and resolved; and
• activities requiring human judgment versus those that are repetitive or rules based.

Based on this understanding, help identify opportunities to eliminate, simplify, standardize, or automate suitable activities.

• Automation and AI Enablement
• Document workflows and requirements for selected automation opportunities.
• Support the design, prototyping, development, testing, and parallel run of Agentic AI processes together with internal teams.
• Use AI-assisted coding, data, and workflow automation tools where appropriate, such as Python, SQL, APIs, Excel/Power Query, Power Automate/Power Apps, Large Language Models, document processing tools, databases, RPA, dashboards, and Agentic AI solutions.

Qualification

• Bachelor's degree in Economics, Statistics, Financial Engineering, Accounting, Computer Science, Information Technology, Computer Engineering, Data Science, Management Information Systems, or related fields.
• 0-5 years' experience in financial operations, treasury, financial risk management, business analysis, process automation, data analytics, software development, or digital transformation would be advantageous.
• Proficient in MS Office, especially Microsoft Excel.
• Strong analytical skills and high attention to detail with numerical data.
• Good coordination, communication, and interpersonal skills.
• Good command of both written and spoken English.

Additional/ Preferable

Qualifications:

• Experience with SAP (FI/TR modules).
• Familiarity with financial market data platforms (e.g., LSEG/Bloomberg) and banking portals.
• Interest in, or hands-on exposure to, AI-assisted tools and process automation or digital transformation initiatives.
• Hands-on experience with several of the following would be advantageous: Python, SQL, REST APIs, Power Query, Power Automate, Power Apps, Git, Databases, AI coding assistants, Large Language Models, Agentic AI, RAG systems, Workflow automation, RPA, Document AI / OCR, Power BI, or Basic web application development.

The individual does not need to be a professional software engineer.