Quantitative Trading & Research Valuation Models Vice President

At JPMorganChase youll be part of a world-class quantitative modeling group that drives innovation in financial engineering data analytics and portfolio management.

As a Vice President in the Quantitative Trading & Research team youll collaborate with traders risk managers and controllers to develop and maintain sophisticated models for fair value measurement across multiple business lines. You should be passionate curious and ready to make an impact.

Job responsibilities

• Develop mathematical models for the valuation of credit derivatives structured lending facilities and illiquid collateral
• Implement methodologies for model calibration and build analytics to manage model risk appetite
• Leverage machine learning AI and data analytics to enhance valuation methodologies and drive innovation
• Define methodology for pricing adjustments model limitations parameter uncertainty and liquidity reserves
• Monitor model performance metrics to ensure models behave as expected over time
• Design and develop software frameworks for analytics delivery to systems and applications
• Collaborate with front office trading desks controllers and model risk teams to safeguard the firms balance sheet

Required qualifications capabilities and skills

• Demonstrated quantitative and problem-solving skills including research abilities
• Strong understanding of advanced mathematics in financial modeling (probability theory stochastic calculus statistics)
• Hands-on experience with data analytics large data sets and tools for analysis and visualization
• Proficiency in code design and programming primarily Python and C
• Practical experience with code performance optimization debugging and reverse engineering
• Excellent verbal and written communication and team skills in a multi-location environment
• Deep understanding of financial products their valuations and associated risks

Preferred qualifications capabilities and skills

• Advanced degree (PhD MSc or equivalent) in Engineering Mathematics Physics Computer Science etc.
• Proven quantitative model development or model validation experience
• Markets experience and familiarity with trading concepts and terminology
• Knowledge of options pricing theory trading algorithms financial regulations stochastic processes partial differential equations and numerical analysis