About the role
AI summarisedThe Market Risk Analyst for Asia Pacific Crude & Freight will support ExxonMobil’s trading activities by monitoring and managing market risks in LNG, gas, power, and freight. The role involves executing daily risk control processes, validating VaR results, providing risk insights to front-office teams, and reporting to senior management. Candidates must have 5–10 years of market risk experience in commodity trading and strong technical and analytical skills.
UtilitiesOnsiteFinance, accounting and tax
Key Responsibilities
- Monitor and manage risks associated with ExxonMobil’s LNG, Gas, Power, and Freight trading activities
- Provide daily risk control analysis and reporting for regional and global trading activities
- Execute daily risk control processes to generate reports, including trade entries and data reconciliation
- Monitor and report Positions, Mark-To-Market (MTM) Values, P&L, and P&L Attribution
- Analyze and validate Value at Risk (VaR) results ensuring adherence to established risk limits by commodity, region, program, book, and strategy
- Provide insights/input to front office to identify, quantify, and manage market and operational risks
- Advise on financial impacts and exposure changes related to proposed strategies, activities, and/or transactions
- Present risk analysis insights to senior management to inform business decisions
Requirements
- Must have legal authorization to work in Singapore on a full-time basis for any employer
- 5-10 years of working experience in Market Risk in commodity trading areas: LNG (preferred), natural gas, power, freight, renewables, and/or environmental products
- Strong analytical skills and attention to detail with a keen focus on process execution
- Leadership skills, communication abilities, and presence in discussions with senior management
- Solid understanding of statistical analysis techniques and comfort in modelling complex issues involving risk and uncertainty
- Experience with Microsoft suite: Excel, Word, Access, and PowerPoint
- Proficiency with R, Python, SQL, VBA, Tableau, and/or Power BI