Quantitative Risk Analyst

Greenwich Commodities is an energy trading company mainly based in the US, with operational hubs in Metro Detroit, Michigan, Metro Denver, Colorado and Singapore. We specialize in Financial Transmission Rights (FTR) trading and Day-Ahead (DART) trading within wholesale competitive electricity markets across the United States. Our mission is to contribute to a smart and sustainable energy future by leveraging quantitative analysis, energy fundamentals, and market intelligence to trade in competitive energy markets.

Greenwich Commodities is seeking a highly motivated Quantitative Risk Analyst to join its risk and analytics team. The successful candidate will be responsible for identifying, measuring, monitoring, and evaluating market risks associated with the firm's power trading portfolios.

Working closely with traders, management, and analytical personnel, the Quantitative Risk Analyst will provide independent risk oversight, quantitative analysis, and market intelligence to support disciplined trading and commercial decision‑making. The role combines quantitative modeling, market fundamentals research, portfolio analytics, and risk management within North American power markets.

The successful candidate will initially work at the company's Troy, Michigan office for approximately one year to gain hands‑on experience with Greenwich Commodities' trading operations, risk management framework, and analytical processes. Upon successful completion of the training period, the employee will transfer to Greenwich Analytics Pte. Ltd. in Singapore.

The Quantitative Risk Analyst must be able to coordinate effectively with the US trading teams across multiple time zones.

This position offers a unique opportunity to develop expertise in quantitative risk management, energy trading analytics, and international power markets while contributing to Greenwich Commodities' long‑term expansion into Asia‑Pacific energy markets.

• Risk Management and Portfolio Analytics
• Monitor, measure, and report risks associated with power trading portfolios.
• Perform exposure analysis, profit‑and‑loss attribution, stress testing, and scenario analysis.
• Identify key risk drivers, emerging risks, and significant portfolio concentrations.
• Quantitative Research and Market Analysis
• Develop and maintain quantitative models, analytical tools, and risk reporting systems.
• Analyze power market fundamentals, including supply, demand, weather, fuel markets, transmission constraints, and regulatory developments.
• Conduct data analysis to support risk assessment, market intelligence, and trading decisions.
• Trading Support and Risk Governance
• Provide independent risk evaluation and analytical support to traders and management.
• Assist in evaluating trading strategies, market opportunities, and portfolio performance.
• Prepare periodic risk reports and support the implementation of risk management policies, procedures, and controls.

Bachelor's degree or higher in Finance, Economics, Mathematics, Statistics, Engineering, Physics, Data Science, or a related quantitative discipline.

• Experience in risk analysis, quantitative research, commodity trading, energy markets, financial markets, or related analytical fields is preferred.
• Working experience s and knowledge of North American power markets is desirable but not required.
• Internship or professional experience in trading, risk management, analytics, or energy markets is advantageous.

• Strong analytical and quantitative problem‑solving abilities.
• Proficiency in Microsoft Excel and advanced data analysis techniques.
• Experience with Python, SQL, R, MATLAB, or similar analytical programming languages is preferred.
• Ability to analyze and interpret large datasets and complex market information.
• Familiarity with statistical analysis, quantitative modeling, and risk measurement concepts is desirable.

• Strong attention to detail and accuracy.
• Intellectual curiosity and a passion for quantitative analysis.
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a fast‑paced environment.
• Stro…