
at J.P. Morgan
Bulge Bracket Investment BanksPosted 5 days ago
No clicks
** Quantitative Trading & Research - Valuation Models - Vice President ** Innovate financial engineering and drive strategic decisions as our Quantitative Trading & Research VP. Collaborate cross-functionally to develop, enhance, and oversee sophisticated models for credit derivatives, structured lending, and illiquid collateral valuation. Leverage machine learning, Python, C++, and data analytics to refine models and manage risk. Proven mathematical prowess, quantitative experience, and financial markets understanding are key. Join JPMorganChase's global quantitative team.
- Compensation
- Not specified GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Full Job Description
Location: LONDON, LONDON, United Kingdom
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




