Senior Analyst, Market Risk-Refining Products Trading

About the position EMPLOYER : BP America Inc. JOB LOCATION : 30 S Wacker Dr, Chicago IL 60606 (May work from home on a hybrid schedule within 50 miles of worksite ( Chicago IL )) OFFERED SALARY: $142,210 - $150,000 per year ( Please note the pay range listed for this position is a good faith and reasonable estimate of the base pay range for this position at the time of posting. You may learn more about our generous benefits at Explore Our Benefits https://exploreyourbenefits.com/landing.html ) JOB DUTIES: Independently oversee and critically assess trading strategies across a diverse range of energy commodities and environmental credits, ensuring adherence to internal Market Risk Standards, risk policies, and Delegation of Authority. Design, implement, and continuously refine sophisticated quantitative market risk models and quantitative analytics, including VaR, Monte Carlo simulations, sensitivity analyses, and scenario modeling, and machine learning algorithms, leveraging advanced SQL, Python, VBA, and Power BI capabilities to enhance forecasting accuracy and actionable risk insights. Collaborate closely with traders and originators to develop tailored trading analytics, employing robust statistical methods, predictive modeling, and data-driven market insights to proactively identify trading opportunities and enhance commercial decision-making. Systematically analyze and quantify trading positions and market exposures, using advanced volatility analytics, forecasting tools, and scenario-based stress tests to deliver comprehensive portfolio risk assessments that directly inform strategic trading initiatives. Perform rigorous independent validation and sophisticated financial modeling of structured commodity contracts and origination deals, applying detailed quantitative valuation techniques, price verification, and sensitivity assessments to ensure commercial accuracy and appropriate risk provisioning. Actively partner with Front Office teams, providing thoughtful challenges, commercially focused risk insights, and strategic guidance informed by detailed quantitative analytics, enabling optimal risk-return outcomes and driving incremental trading value. Utilize advanced quantitative skills in derivatives including futures, swaps, options, and Greeks to assess and manage portfolio convexity, volatility, and strategic exposures, ensuring robust risk management across multiple commodity trading books. Drive quantitative innovation and process improvement by automating risk reporting and analytics through bespoke dashboards and tools integrated within industry-leading ETRM platforms, significantly enhancing efficiency, transparency, and strategic decision-making capabilities. Mentor and develop junior analysts and interns, strengthening their quantitative skills, analytical rigor, and commercial acumen to promote a proactive, data-driven, and commercially focused risk management culture. Regularly communicate complex quantitative analyses and risk insights clearly to senior management and risk governance committees, actively influencing risk appetite decisions, strategic policies, and the development of quantitative frameworks to support ongoing business growth and innovation. May work from home on a hybrid schedule within 50 miles of worksite (Chicago IL).

Responsibilities

• Independently oversee and critically assess trading strategies across a diverse range of energy commodities and environmental credits, ensuring adherence to internal Market Risk Standards, risk policies, and Delegation of Authority.
• Design, implement, and continuously refine sophisticated quantitative market risk models and quantitative analytics, including VaR, Monte Carlo simulations, sensitivity analyses, and scenario modeling, and machine learning algorithms, leveraging advanced SQL, Python, VBA, and Power BI capabilities to enhance forecasting accuracy and actionable risk insights.
• Collaborate closely with traders and originators to develop tailored trading analytics, employing robust statistical methods, predictive modeling, and data-driven market insights to proactively identify trading opportunities and enhance commercial decision-making.
• Systematically analyze and quantify trading positions and market exposures, using advanced volatility analytics, forecasting tools, and scenario-based stress tests to deliver comprehensive portfolio risk assessments that directly inform strategic trading initiatives.
• Perform rigorous independent validation and sophisticated financial modeling of structured commodity contracts and origination deals, applying detailed quantitative valuation techniques, price verification, and sensitivity assessments to ensure commercial accuracy and appropriate risk provisioning.
• Actively partner with Front Office teams, providing thoughtful challenges, commercially focused risk insights, and strategic guidance informed by detailed quantitative analytics, enabling optimal risk-return outcomes and driving incremental trading value.
• Utilize advanced quantitative skills in derivatives including futures, swaps, options, and Greeks to assess and manage portfolio convexity, volatility, and strategic exposures, ensuring robust risk management across multiple commodity trading books.
• Drive quantitative innovation and process improvement by automating risk reporting and analytics through bespoke dashboards and tools integrated within industry-leading ETRM platforms, significantly enhancing efficiency, transparency, and strategic decision-making capabilities.
• Mentor and develop junior analysts and interns, strengthening their quantitative skills, analytical rigor, and commercial acumen to promote a proactive, data-driven, and commercially focused risk management culture.
• Regularly communicate complex quantitative analyses and risk insights clearly to senior management and risk governance committees, actively influencing risk appetite decisions, strategic policies, and the development of quantitative frameworks to support ongoing business growth and innovation.

Requirements

• Bachelor’s degree or foreign equivalent in Economics, Financial Mathematics, Data Science, Computer Science, or a closely related quantitative field plus four (4) years of experience with the application of advanced financial modeling; valuation methodologies; and quantitative analytics including DCF, benchmarking, and scenario analysis to evaluate the financial and operational impacts of complex transactions under varying economic and market conditions for clients from various sectors including consumer goods, energy, and manufacturing.
• Experience to include standardizing analytical processes; strengthening data governance; and aligning work products with applicable regulatory requirements and documentation standards to ensure accuracy, transparency, and consistency.

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