About the role
AI summarisedMarket Risk Analyst role at ExxonMobil's Global Trading Risk & Compliance team in Singapore, focusing on crude and freight trading activities. The role involves quantitative risk analysis, VaR modeling, scenario analysis, and supporting commercial teams to manage market and operational risks.
UtilitiesFull-timeFinance, accounting and tax
Key Responsibilities
- Maintain, analyze, and support risk management models for Trading Strategies, Risk Management, Real Options Valuation, and Simulation of Forward Curves.
- Develop, maintain, analyze, and validate Value at Risk (VaR) models capable of handling complex transactions.
- Ensure adherence to established risk limits by commodity, region, program, book, and strategy.
- Design, implement, analyze, and refine scenario analysis and stress test methodologies and tools.
- Model and estimate volatilities and correlations, both historical and implied.
- Build strong relationships with the Commercial (Trading, Origination, Structuring) teams.
- Develop a deep understanding of supply & demand fundamentals, trading & hedging strategies, and risk management techniques.
- Support independent assessment of new business opportunities by reviewing transaction terms, model assumptions, valuation methodologies, and expected results.
- Analyze performance of trading / origination strategies coupled with hedging strategies to explain drivers of P&L and position changes.
- Provide recommendations for improvement and enhancement of risk management models.
- Effectively communicate recommendations on complex topics to a variety of constituents, including Management, Traders, Originators and Risk Management.
- Work closely with other functions to provide ongoing transaction support.
Requirements
- Bachelor's degree or above (Master's, MBA, CFA, or Ph.D.) in Quantitative Finance, Mathematics, Statistics, Finance or Accounting.
- Strong analytical skills, and knowledge of financial instruments.
- Strong leadership, communications skills, and executive presence in discussions with senior management.
- Good understanding of decision analysis techniques, statistical modelling and comfort in modelling issues involving risk and uncertainty.
- Proficiency with Python, JavaScript, R, C, SQL or other programming languages is desirable.
- Experience with the Microsoft suite of products: Excel, Word, Access, and PowerPoint.
- Good understanding of financial analyses and application to energy / commodity trading.
- Must have legal authorization to work in the Singapore on a full-time basis for any employer.
- 5-10 (five to ten) years working experience in Market Risk in the following 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.
- Solid understanding of statistical analysis techniques and comfort in modelling complex issues involving risk and uncertainty.
- Proficiency with R, Python, SQL, VBA, Tableau, and/or Power BI.