Quant Model Risk Vice President

Location: LONDON, LONDON, United Kingdom

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a proud history of innovation and client service. The Quant Model Risk Vice President role within our Quant Analytics team in London offers an exciting opportunity for seasoned quants to thrive in a dynamic environment focused on model development and validation. As a key player in our Model Risk Management group, you will contribute to safeguarding the integrity of quantitative models that underpin our trading, risk, and capital strategies across asset classes including equities, fixed income, and derivatives. This position demands a blend of technical expertise and strategic insight to navigate the complexities of financial markets while adhering to stringent regulatory standards. In this role, you will perform rigorous independent validations of sophisticated models, evaluating their theoretical soundness, implementation accuracy, and practical applicability. You will collaborate closely with model developers, risk managers, and business leaders to identify potential vulnerabilities and propose robust solutions. Responsibilities include conducting stress tests under various market scenarios, analyzing model outputs against historical data, and ensuring alignment with frameworks like Basel III and the firm's internal governance policies. Your work will directly influence decision-making at JP Morgan Chase, helping to mitigate risks in our high-stakes global operations. We seek candidates who are passionate about quantitative finance and eager to advance their careers in a supportive, intellectually stimulating setting. This Vice President-level position provides exposure to cutting-edge technologies and diverse projects, fostering professional growth within one of the world's most respected financial institutions. Join JP Morgan Chase in London to make a meaningful impact on our model risk practices and contribute to our commitment to excellence in financial services.

Key Responsibilities

• Conduct independent validation of quantitative models used in trading, risk management, and capital calculation across JP Morgan's global businesses
• Assess model assumptions, methodologies, and limitations to ensure compliance with internal policies and regulatory requirements
• Perform stress testing, sensitivity analysis, and backtesting on models to identify potential risks and weaknesses
• Collaborate with model development teams to provide feedback and recommend enhancements for improved model performance
• Develop and maintain documentation for model validations, including reports for senior management and regulators
• Monitor ongoing model performance and escalate issues related to model degradation or emerging risks
• Contribute to the firm's model risk governance framework by participating in policy reviews and risk assessments
• Analyze the impact of macroeconomic events on model outputs and advise on risk mitigation strategies
• Support ad-hoc quantitative projects involving data analytics and model risk quantification for JP Morgan's diverse asset classes

Required Qualifications

• Advanced degree (Master's or PhD) in quantitative finance, mathematics, statistics, physics, or a related field
• Minimum 5-7 years of experience in quantitative modeling, risk management, or model validation within the financial services industry
• Strong understanding of regulatory frameworks such as Basel III, SR 11-7, and model risk management guidelines
• Proficiency in programming languages including Python, R, and C++ for quantitative analysis and model implementation
• Experience with statistical modeling techniques, including time series analysis, Monte Carlo simulations, and machine learning applications in finance
• Demonstrated ability to work with large datasets and perform rigorous model testing and validation
• Excellent communication skills to explain complex quantitative concepts to non-technical stakeholders

Preferred Qualifications

• Prior experience at a major investment bank or financial institution like JP Morgan Chase
• Knowledge of derivative pricing models, credit risk models, or market risk frameworks
• Certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst)
• Experience with JP Morgan's internal model risk management processes or similar enterprise systems
• Publication record in quantitative finance journals or contributions to open-source quantitative libraries

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, R, MATLAB, or C++
• Model validation and risk assessment techniques
• Knowledge of financial derivatives and instruments
• Data manipulation and analysis with SQL and big data tools
• Regulatory compliance in model risk management
• Time series forecasting and stochastic processes
• Machine learning algorithms for financial applications
• Strong analytical and problem-solving abilities
• Effective written and verbal communication
• Attention to detail and accuracy in quantitative work
• Team collaboration in cross-functional environments
• Project management for validation initiatives
• Adaptability to fast-paced financial markets
• Ethical judgment in risk evaluation

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance coverage
• Generous retirement savings plan with company matching contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• Global mobility support for career advancement within JP Morgan Chase
• Wellness programs including gym memberships, mental health support, and flexible working arrangements

JP Morgan Chase is an equal opportunity employer.