Data Analyst
Role summary
A global energy giant seeks a Senior Market Risk Analyst to join their trading floor in Chicago. This role involves leveraging advanced quantitative analytics, Python, and SQL to manage market exposure and influence trading strategy through sophisticated risk modeling and real-time portfolio insights. Responsibilities include designing quantitative models (VaR, Monte Carlo, Greeks), collaborating with traders on analytics, performing portfolio risk assessments, and validating commodity contracts. The ideal candidate has 4+ years of experience in market risk or quantitative finance, strong technical skills in Python, SQL, and VBA, and experience with ETRM platforms and Power BI. A Bachelor's degree in a quantitative field is required. The position offers a hybrid work model, competitive salary, and benefits.
Senior Market Risk Analyst
We're working with a global energy giant and commodities powerhouse on this exciting opportunity to join their high-octane trading floor in Chicago.
Drive commercial value in the fast-paced world of refining products trading by leveraging advanced quantitative analytics, Python, and SQL to manage market exposure. This is a high-impact role where you will partner directly with traders to influence strategy through sophisticated risk modeling and real-time portfolio insights.
The Role
• Independently oversee trading strategies across energy commodities and environmental credits, ensuring robust adherence to risk standards and delegation of authority.
• Design and refine sophisticated quantitative models including VaR, Monte Carlo simulations, and Greeks (Delta, Gamma, Vega) using Python, SQL, and VBA.
• Collaborate directly with Front Office traders to develop tailored analytics and predictive modeling that identify market opportunities and enhance decision-making.
• Deliver deep-dive portfolio risk assessments using advanced volatility analytics, scenario-based stress tests, and automated Power BI dashboards.
• Perform rigorous financial modeling and validation of structured commodity contracts, ensuring commercial accuracy through price verification and sensitivity assessments.
What You'll Need
• 4+ years of experience in market risk, quantitative finance, or commodity trading environments with a focus on advanced financial modeling.
• Strong technical proficiency in Python, SQL, and VBA for automating risk reports and building bespoke analytical tools.
• Deep understanding of derivatives (Futures, Swaps, Options) and the ability to quantify complex market exposures in energy markets.
• Bachelor’s degree in a quantitative field such as Financial Mathematics, Data Science, Economics, or Computer Science.
• Proven experience with ETRM platforms and data visualization tools like Power BI to translate complex data into actionable risk insights.
What's On Offer
• Competitive base salary of $142,210 - $150,000 per year.
• Hybrid work flexibility (office/home) based in the heart of Chicago.
• Access to world-class benefits, generous retirement plans, and a culture that champions professional development and quantitative innovation.
• Opportunity to mentor junior analysts within a globally recognized midstream and trading organization.
Apply via Haystack today!
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