About the role
AI summarisedThe Trading Market Risk Senior Advisor (Expert) role at ExxonMobil in Singapore involves monitoring and managing market risks for LNG, gas, power, and freight trading activities. The position requires conducting daily risk control analysis, generating reports on positions, MTM, P&L, and VaR, and providing insights to front office teams and senior management to support risk-informed trading decisions. The role emphasizes strong analytical, technical, and communication skills, with proficiency in quantitative tools and experience in commodity market risk management.
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, with specific focus on LNG trading
- 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 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