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. We are seeking a highly skilled and motivated Vice President to join our Credit Quantitative Research team in New York, NY. In this role, you will play a pivotal part in developing cutting-edge quantitative models to assess and manage credit risk across our diverse portfolio of loans, bonds, and derivatives. As a key contributor to the firm's risk management framework, you will leverage advanced statistical and machine learning techniques to drive insights that support strategic decision-making and regulatory compliance in the dynamic financial services landscape. Your primary focus will be on innovating credit risk models, including those for probability of default, loss given default, and exposure at default, while ensuring alignment with global standards like Basel III and CCAR. You will collaborate closely with traders, risk officers, and technology teams to integrate models into JPMorgan Chase's proprietary platforms, enabling real-time risk monitoring and portfolio optimization. This position offers the opportunity to tackle complex challenges in credit markets, such as stress testing under various economic scenarios, and to contribute to the firm's leadership in quantitative finance. The ideal candidate thrives in a collaborative, high-stakes environment and is passionate about applying rigorous quantitative methods to real-world financial problems. At JPMorgan Chase, you will have access to unparalleled resources, including vast datasets and state-of-the-art computing infrastructure, to advance your research and career. Join us to help shape the future of credit risk management at one of the world's most respected financial institutions.

Key Responsibilities

• Develop and enhance quantitative models for credit risk assessment, including stress testing and scenario analysis
• Conduct research on advanced credit modeling techniques, incorporating machine learning and big data analytics
• Collaborate with cross-functional teams, including traders, risk managers, and IT, to implement models into production systems
• Perform validation and back-testing of credit models to ensure compliance with internal and regulatory standards
• Analyze large datasets from credit portfolios to identify trends and potential risks
• Contribute to the firm's response to regulatory requirements, such as CCAR and DFAST submissions
• Mentor junior quantitative researchers and support team initiatives in innovation
• Stay abreast of industry developments in credit markets and quantitative finance to inform strategic decisions
• Design and execute simulations for credit portfolio optimization and hedging strategies
• Document model methodologies and present findings to senior management and stakeholders

Required Qualifications

• Advanced degree (Master's or PhD) in Quantitative Finance, Mathematics, Statistics, Physics, or a related field
• Minimum of 5-7 years of experience in quantitative research, modeling, or risk management within the financial services industry
• Strong proficiency in programming languages such as Python, C++, or R for developing quantitative models
• Deep understanding of credit risk modeling, including probability of default (PD), loss given default (LGD), and exposure at default (EAD)
• Experience with regulatory frameworks such as Basel III, CCAR, and IFRS 9 in credit risk contexts
• Proven track record of applying machine learning and statistical techniques to financial datasets
• Excellent analytical and problem-solving skills with the ability to handle complex, large-scale data

Preferred Qualifications

• PhD in a quantitative discipline with a focus on financial engineering or econometrics
• Prior experience at a major investment bank or financial institution in credit quantitative research
• Familiarity with JP Morgan Chase's internal tools and platforms for risk modeling
• Publications or presentations in credit risk modeling at industry conferences
• Experience leading small teams in quantitative projects

Required Skills

• Quantitative modeling and statistical analysis
• Credit risk assessment and valuation
• Programming in Python, C++, or MATLAB
• Machine learning algorithms (e.g., regression, clustering, neural networks)
• Data manipulation and analysis with SQL and big data tools
• Financial mathematics and stochastic processes
• Regulatory knowledge (Basel, CCAR)
• Problem-solving and critical thinking
• Communication and presentation skills
• Team collaboration and leadership
• Time management in fast-paced environments
• Attention to detail in model validation
• Adaptability to evolving market conditions
• Research and innovation mindset
• Proficiency in Excel and visualization tools like Tableau

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and access to internal training programs
• Employee stock purchase plan and other financial wellness benefits
• On-site fitness centers and wellness programs at JP Morgan Chase facilities
• Flexible work arrangements and support for work-life balance

JP Morgan Chase is an equal opportunity employer.