Quantitative Research - Credit - Vice President

Location: New York, NY, United States

Job Family: Data Management

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The Quantitative Research team within the firm's Corporate & Investment Bank is at the forefront of innovation in financial modeling, seeking a Vice President to focus on the rapidly growing Collateralized Loan Obligation (CLO) business. This role, based in New York, NY, involves leveraging advanced quantitative techniques to drive insights into credit markets, supporting trading, risk management, and investment strategies. As a key contributor to the Data Management category, you will work with vast datasets to build robust models that enhance decision-making in one of the most dynamic segments of fixed income. In this position, you will develop sophisticated models for CLO pricing, default prediction, and portfolio optimization, utilizing statistical and machine learning approaches to analyze loan-level data and macroeconomic indicators. You will collaborate closely with cross-functional teams, including traders, structurers, and compliance experts, to ensure models align with business needs and regulatory standards such as Basel III and CECL. Responsibilities extend to conducting scenario analyses and stress tests to mitigate credit risks, while contributing to the firm's proprietary analytics platforms. This role offers the opportunity to influence high-stakes decisions in a market where CLOs represent a critical component of leveraged finance. JPMorgan Chase values intellectual curiosity and technical excellence, providing a supportive environment for quants to innovate and grow. The successful candidate will thrive in a collaborative culture that emphasizes diversity, inclusion, and work-life balance, with access to cutting-edge resources and mentorship from industry leaders. Join us to advance your career in quantitative finance while contributing to the firm's leadership in global credit markets.

Key Responsibilities

• Develop and enhance quantitative models for pricing, valuation, and risk assessment of CLO portfolios
• Conduct statistical analysis of credit data to identify trends and improve model accuracy
• Collaborate with trading, risk management, and structuring teams to support CLO business decisions
• Perform stress testing and scenario analysis on credit exposures in line with regulatory standards
• Implement and backtest quantitative strategies for CLO investments using historical and real-time data
• Monitor market conditions and update models to reflect changes in credit spreads and default probabilities
• Contribute to the development of proprietary tools for data management and analytics in the credit space
• Present research findings and model outputs to senior stakeholders and executive leadership
• Ensure compliance with internal governance and external regulatory requirements for quantitative research

Required Qualifications

• Advanced degree (Master's or PhD) in Quantitative Finance, Mathematics, Statistics, Physics, or a related field
• 5+ years of experience in quantitative research, modeling, or risk management within the financial services industry
• Proven expertise in credit risk modeling, particularly for structured products like Collateralized Loan Obligations (CLOs)
• Strong programming proficiency in Python, R, or C++ for developing quantitative models
• Experience with large-scale data analysis and statistical modeling in a banking or investment context
• Familiarity with regulatory requirements such as Basel III, IFRS 9, or CECL for credit risk
• Ability to work in a fast-paced, collaborative environment in New York

Preferred Qualifications

• PhD in a quantitative discipline with a focus on financial engineering
• Prior experience at a major investment bank or asset management firm specializing in CLOs or fixed income
• Publications or contributions to academic/practitioner literature on credit derivatives
• Knowledge of machine learning applications in credit risk assessment
• CFA or FRM certification

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, R, MATLAB, or C++
• Credit risk assessment and portfolio management
• Data mining and machine learning techniques
• Financial mathematics and stochastic processes
• Knowledge of fixed income securities and derivatives
• Regulatory compliance in banking (e.g., Basel, Dodd-Frank)
• Strong analytical and problem-solving abilities
• Excellent communication and presentation skills
• Team collaboration in cross-functional environments
• Proficiency in SQL for database querying
• Experience with big data tools like Hadoop or Spark
• Risk simulation and Monte Carlo methods
• Attention to detail in model validation
• Adaptability to evolving market dynamics

Benefits

• Competitive base salary and performance-based bonus structure
• 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, including tuition reimbursement and internal training programs
• Wellness programs with gym memberships and mental health support
• Employee stock purchase plan and financial planning services
• Flexible work arrangements and commuter benefits for New York-based roles

JP Morgan Chase is an equal opportunity employer.