Sr. Quantitative Energy Portfolio Analyst

Key Responsibilities

• Maintain, develop and enhance portfolio-level analytics for pricing, hedging, optimization, forecasting and scenario analysis.
• Monitor and manage complex energy positions to mitigate risk and maximize gross margin.
• Help design and execute GM swing risks hedging strategies in collaboration with internal teams and external partners and counterparties.
• Actively identify and act on portfolio risks and opportunities through continuous market analysis.
• Proactively gain a deep understanding of Sprague’s business, related market conditions, market fundamentals, business operations, data, systems, models, products, and processes.
• Analyze new business opportunities and support the design of new products and growth strategies.
• Provide analytical insights and recommendations to the leadership teams.
• Lead cross-functional projects from scoping through delivery under tight deadlines.
• Contribute to modern energy solutions that support customer needs and strategic portfolio balance.
• Collaborate with IT, Quant, BAs, Risk, BI, Data and BU stakeholders on improving and developing portfolio tools, modern applications, web portals, ETRM systems, and innovative solutions for the growing Sprague energy business.

Required Qualifications and Skills

• Master’s degree and education in some combination of interdisciplinary areas of Finance, Economics, Risk Management, Applied Mathematics, Statistics, Actuary Science, Engineering or related field with strong coursework and foundation in quantitative disciplines.
• Minimum of 3 years of experience in the energy industry in a similar role, involving analyzing and managing complex volumetric and market price risks and energy portfolio / assets optimization, structuring and pricing.
• Good understanding of the energy markets areas like Retail / Wholesale Natural Gas, Refined Products, Electricity, Renewables, etc.
• Deep knowledge of hedging strategies, energy derivatives, and portfolio risk analytics (e.g., VaR models).
• Advanced skills in Python / R / MATLAB.
• Excellent collaboration skills and teamwork oriented.
• Ability to independently solve complex problems, conduct research, evaluate pros and cons and provide creative and commercially viable solutions.
• Exceptional communication and interpersonal skills for cross-functional collaboration.
• Ability to effectively coordinate various business requirements across teams.
• Clearly present complex topics to various audiences, including C-suite Business mindset with a focus on practical, phased solutions and impact delivery.
• Good planning and project management skills.
• Flexibility to switch priorities as needed and adaptability to fast-paced work environment.
• Following the highest standards of ethics and respect for the individuals and the environment.