Quantitative Research - SPG - Vice President

Location: New York, NY, United States

Job Family: Quant Analytics

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide, committed to helping people and businesses prosper in the modern economy. In the Global Markets division, the Securitized Products Group (SPG) Quantitative Research team drives innovation in financial analysis and product development. As a Vice President in Quantitative Research - SPG, you will play a pivotal role in propelling cutting-edge strategies for securitized products, including mortgage-backed securities, asset-backed securities, and structured credit instruments. Based in our state-of-the-art New York office, you will leverage advanced quantitative techniques to model complex market dynamics, enhance trading algorithms, and support the firm's leadership in fixed income markets. Your primary focus will be on developing sophisticated models for pricing, hedging, and risk assessment of securitized products, utilizing tools like stochastic calculus, machine learning, and high-performance computing. You will collaborate closely with traders, structurers, and sales professionals to translate quantitative insights into actionable business strategies, contributing to the creation of innovative financial products that meet client needs in a competitive landscape. At JPMorgan Chase, you will have access to vast datasets and proprietary platforms, enabling you to conduct rigorous backtesting and scenario analysis to mitigate risks and capitalize on market opportunities in real-time. This role demands a blend of technical expertise and strategic thinking, where you will mentor junior team members and foster a culture of continuous improvement within the Quantitative Research group. Joining JPMorgan Chase means becoming part of a dynamic team that values diversity, innovation, and integrity, with opportunities for career growth in one of the world's most influential financial institutions. If you are passionate about quantitative finance and eager to impact global markets, this position offers a platform to excel in the heart of New York City's financial district.

Key Responsibilities

• Develop and implement advanced quantitative models for pricing, risk management, and valuation of securitized products
• Conduct in-depth research and analysis on global securitized markets to identify innovative trading strategies and product opportunities
• Collaborate with trading, sales, and structuring teams to enhance product development and client solutions in the Global Markets division
• Utilize machine learning and big data techniques to analyze market trends and predict securitized product performance
• Perform stress testing and scenario analysis on portfolios to ensure compliance with regulatory standards and internal risk policies
• Contribute to the innovation of new financial products by integrating quantitative insights with business objectives
• Mentor junior quants and support the team's knowledge-sharing initiatives within JPMorgan Chase's Quantitative Research group
• Monitor and refine models based on real-time market data and feedback from cross-functional stakeholders
• Ensure all quantitative research adheres to JPMorgan Chase's ethical standards and regulatory requirements

Required Qualifications

• Advanced degree (Master's or PhD) in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field
• Minimum of 5 years of experience in quantitative research or modeling within the financial services industry, particularly in securitized products
• Strong proficiency in programming languages such as Python, C++, or R for financial modeling and data analysis
• Deep knowledge of securitized products including mortgage-backed securities (MBS), asset-backed securities (ABS), and collateralized loan obligations (CLOs)
• Experience with statistical modeling, machine learning, and risk assessment in a trading or investment banking environment
• Ability to work in a fast-paced, collaborative team setting at a leading global financial institution like JPMorgan Chase

Preferred Qualifications

• PhD in a quantitative discipline with a focus on financial engineering or econometrics
• Prior experience at a bulge-bracket investment bank or hedge fund specializing in fixed income or derivatives
• Publications or contributions to academic/research papers on quantitative finance topics
• Familiarity with JPMorgan Chase's proprietary trading systems or similar high-frequency trading platforms
• CFA or FRM certification

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, C++, or MATLAB
• Knowledge of securitized products and fixed income markets
• Machine learning and AI applications in finance
• Risk management and derivatives pricing
• Data analytics and big data handling
• Financial econometrics
• Problem-solving and analytical thinking
• Collaboration and communication skills
• Attention to detail in high-stakes environments
• Adaptability to fast-paced financial markets
• Regulatory compliance awareness
• Research and innovation mindset
• Team leadership and mentoring
• Proficiency in SQL for database querying

Benefits

• Competitive base salary and performance-based bonus structure aligned with industry standards at JPMorgan Chase
• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers, wellness programs, and mental health support services
• Relocation assistance for eligible roles in New York, NY

JP Morgan Chase is an equal opportunity employer.