Model Risk - Quant Modeling Lead - Vice President

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Model Risk team plays a pivotal role in safeguarding the firm's assets through rigorous quantitative modeling. As a Vice President and Quant Modeling Lead in the Predictive Science category, you will spearhead a high-impact team responsible for developing and managing advanced risk models that underpin our global operations. Based in our state-of-the-art New York office, you will promote strategic initiatives to enhance model accuracy and efficiency, ensuring alignment with the firm's risk management objectives and regulatory standards. This role demands a blend of technical expertise and leadership to drive innovation in areas like credit risk assessment, market volatility forecasting, and operational resilience modeling. Your leadership will involve overseeing the end-to-end model lifecycle, from conceptualization and development to validation, implementation, and ongoing monitoring. You will collaborate closely with cross-functional teams across JP Morgan Chase's Corporate & Investment Bank, Consumer & Community Banking, and Asset & Wealth Management divisions to integrate predictive models into business decision-making. By leveraging cutting-edge techniques in machine learning and big data analytics, you will help mitigate risks in a dynamic financial landscape, contributing to the firm's commitment to sustainable growth and client trust. This position offers the opportunity to influence high-stakes projects that directly impact billions in assets under management. Joining JP Morgan Chase means becoming part of a world-class institution renowned for its intellectual capital and collaborative culture. We value diverse perspectives and provide robust support for professional growth, including access to top-tier resources and mentorship from industry leaders. If you are a seasoned quant with a passion for risk management and a vision for strategic modeling, this role will allow you to make a lasting impact on one of the world's leading financial services firms.

Key Responsibilities

• Lead a team of quantitative modelers in developing and validating advanced risk models for credit, market, and operational risks
• Oversee the model risk management framework, ensuring compliance with JP Morgan Chase's internal policies and regulatory requirements
• Drive strategic initiatives to enhance predictive modeling capabilities, including integration of AI and machine learning techniques
• Collaborate with senior executives and business units to align modeling efforts with firm-wide risk appetite and strategic goals
• Conduct model performance monitoring, stress testing, and scenario analysis to mitigate potential financial exposures
• Mentor and develop junior quants, fostering a culture of innovation and excellence in the Predictive Science group
• Interface with regulators and external auditors to defend model methodologies and assumptions
• Identify emerging risks and recommend model enhancements to support JP Morgan's global operations
• Manage project timelines, budgets, and resources for modeling initiatives across multiple asset classes

Required Qualifications

• Advanced degree (Master's or PhD) in Quantitative Finance, Mathematics, Statistics, Physics, or a related field
• 8+ years of experience in quantitative modeling, risk management, or financial engineering within the banking or financial services industry
• Proven leadership experience managing teams in model development and risk assessment
• Deep expertise in statistical modeling, machine learning, and predictive analytics
• Strong understanding of regulatory frameworks such as SR 11-7, CCAR, and Basel III for model risk management
• Experience with programming languages and tools used in financial modeling
• Excellent communication skills to interface with senior stakeholders and regulatory bodies

Preferred Qualifications

• Prior experience at a major financial institution like JP Morgan Chase or similar
• Certification in quantitative finance (e.g., FRM, CQF) or risk management
• Hands-on experience with JP Morgan's internal modeling platforms or similar enterprise systems
• Background in leading cross-functional teams for strategic risk initiatives
• Publication record in quantitative finance journals or contributions to industry whitepapers

Required Skills

• Proficiency in Python, R, or MATLAB for statistical modeling and data analysis
• Expertise in SQL for querying large financial datasets
• Knowledge of machine learning frameworks like TensorFlow or Scikit-learn
• Strong quantitative skills in stochastic processes and Monte Carlo simulations
• Experience with risk modeling tools such as SAS or Moody's Analytics
• Leadership and team management abilities
• Analytical problem-solving in complex financial environments
• Regulatory knowledge of model validation and governance
• Communication skills for presenting technical concepts to non-technical audiences
• Project management for multi-phase modeling projects
• Attention to detail in model documentation and auditing
• Adaptability to evolving financial regulations and technologies
• Collaboration across diverse teams in a global bank setting
• Time management to handle high-pressure deadlines

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at New York locations
• Flexible work arrangements and hybrid work options post-pandemic

JP Morgan Chase is an equal opportunity employer.