Analyst, Financial Risk Management Support

Job Purpose

1. Support the Financial Risk Management team as an additional hands-on operating resource; and
2. 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

1. 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  
2. 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.
3. 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.