Energy Quantitative Research VP: Front‑Office Pricing & Risk

JP Morgan Chase; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. Energy Quantitative Research team in Houston (or New York) supports the global energy trading business, focusing on North American power and gas. You will develop and own high-impact models end-to-end from research to production, partnering with Trading, Structuring, Sales, and Technology.

The role emphasizes strong quantitative skills, programming in Python and C++, and the ability to translate desk needs into tangible deliverables within a front-office aligned quant team.

Qualifications

• Master's or PhD in a quantitative field.
• Strong mathematical and numerical techniques knowledge.
• Proficiency in production-quality Python/C++.

Responsibilities

• Develop pricing and risk models for vanilla and structured products, including model development, production implementation, testing, governance and documentation
• Partner with Trading and Sales to develop new commercial opportunities
• Develop analytical tools for use by front office teams (pricing, model calibration, strategy backtesting etc)
• Provide quantitative analysis and support to front office teams and control functions
• Lead projects, manage priorities and take responsibility for results, partnering with other teams to deliver on cross-functional projects
• Provide technical support and guidance around the use of the models and tools developed by the team

Skills

Advanced degree

Quantitative methods

Python

C++

Communication skills

Energy markets knowledge

Education

Master's or PhD in a quantitative field

Tools

Python

C++

Job description

JPMorgan Chase & Co. Energy Quantitative Research team in Houston (or New York) supports the global energy trading business, focusing on North American power and gas. You will develop and own high-impact models end-to-end from research to production, partnering with Trading, Structuring, Sales, and Technology.

The role emphasizes strong quantitative skills, programming in Python and C++, and the ability to translate desk needs into tangible deliverables within a front-office aligned quant team.