Senior Analyst, Market Risk-Refining Products Trading

About the position EMPLOYER: reputed company America Inc. JOB LOCATION: 30 S Wacker Dr, Chicago IL 60606 (May work from home on a reputed company reputed company 50 miles of worksite (Chicago IL)) OFFERED SALARY: $142,210 - $150,000 per year (Please note the pay reputed company listed for this position is a good faith and reasonable estimate of the reputed company pay reputed company for this position at the time of posting. You may learn more about our generous benefits at Explore Our Benefits https://exploreyourbenefits.com/reputed company.reputed company) JOB DUTIES: Independently reputed company and critically assess trading strategies across a diverse reputed company 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, reputed company 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 reputed company tailored trading analytics, employing robust statistical reputed company, predictive modeling, and data-driven market insights to proactively identify trading opportunities and enhance reputed company 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. reputed company rigorous independent validation and sophisticated financial modeling of reputed company commodity reputed company and origination deals, applying detailed quantitative valuation techniques, price verification, and sensitivity assessments to ensure reputed company accuracy and appropriate risk provisioning. reputed company partner with reputed company Office teams, providing thoughtful challenges, commercially reputed company risk insights, and strategic guidance informed by detailed quantitative analytics, enabling reputed company risk-return reputed company and driving incremental trading value. Utilize advanced quantitative skills in derivatives including reputed company, swaps, reputed company, 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 reputed company industry-leading ETRM platforms, significantly enhancing efficiency, transparency, and strategic decision-making capabilities. Mentor and reputed company junior analysts and interns, strengthening their quantitative skills, analytical rigor, and reputed company acumen to promote a proactive, data-driven, and commercially reputed company risk management culture. Regularly communicate reputed company quantitative analyses and risk insights reputed company to senior management and risk governance committees, reputed company influencing risk appetite reputed company, strategic policies, and the development of quantitative frameworks to support ongoing business reputed company and innovation. May work from home on a reputed company reputed company 50 miles of worksite (Chicago IL). Responsibilities • Independently reputed company and critically assess trading strategies across a diverse reputed company 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, reputed company 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 reputed company tailored trading analytics, employing robust statistical reputed company, predictive modeling, and data-driven market insights to proactively identify trading opportunities and enhance reputed company 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. • reputed company rigorous independent validation and sophisticated financial modeling of reputed company commodity reputed company and origination deals, applying detailed quantitative valuation techniques, price verification, and sensitivity assessments to ensure reputed company accuracy and appropriate risk provisioning. • reputed company partner with reputed company Office teams, providing thoughtful challenges, commercially reputed company risk insights, and strategic guidance informed by detailed quantitative analytics, enabling reputed company risk-return reputed company and driving incremental trading value. • Utilize advanced quantitative skills in derivatives including reputed company, swaps, reputed company, 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 reputed company industry-leading ETRM platforms, significantly enhancing efficiency, transparency, and strategic decision-making capabilities. • Mentor and reputed company junior analysts and interns, strengthening their quantitative skills, analytical rigor, and reputed company acumen to promote a proactive, data-driven, and commercially reputed company risk management culture. • Regularly communicate reputed company quantitative analyses and risk insights reputed company to senior management and risk governance committees, reputed company influencing risk appetite reputed company, strategic policies, and the development of quantitative frameworks to support ongoing business reputed company and innovation. Requirements • Bachelor’s degree or foreign equivalent in Economics, Financial Mathematics, Data Science, Computer Science, or a closely reputed company quantitative field plus four (4) years of experience with the application of advanced financial modeling • valuation methodologies • quantitative analytics including DCF, benchmarking, and scenario analysis to evaluate the financial and operational impacts of reputed company 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. Apply tot his job Apply To this Job