Quantitative Research - Sales FICC - Franchise Analytics - Vice President

Location: New York, NY, United States

Job Family: Data Management

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong presence in investment banking, asset management, and markets. As a Vice President in Quantitative Research - Sales FICC - Franchise Analytics, you will play a pivotal role in our Markets division, leveraging your expertise in derivatives to drive innovative trade ideas and analytics that enhance our franchise performance. Based in our New York office, you will work closely with sales teams to promote algorithmic strategies and data insights, helping clients navigate complex FICC markets including fixed income, currencies, commodities, and credit products. This position demands a blend of quantitative rigor and business acumen to identify opportunities that strengthen JP Morgan's market leadership. Your primary focus will be on developing sophisticated models and algorithms that generate actionable trade ideas, analyzing vast datasets to uncover pricing inefficiencies and risk dynamics in derivatives markets. You will collaborate with traders and salespeople to translate quantitative research into client-facing recommendations, ensuring our franchise analytics tools provide a competitive edge. Responsibilities include monitoring key metrics, conducting scenario analyses, and contributing to product innovation, all while adhering to JP Morgan's stringent risk and compliance frameworks. This role offers exposure to cutting-edge technologies and high-impact projects that directly influence billions in trading volume. We seek candidates with a passion for quantitative finance and a proven ability to thrive in a fast-paced, collaborative environment. At JP Morgan Chase, you will have access to world-class resources, mentorship from industry leaders, and opportunities for career advancement within our global organization. Join us to shape the future of FICC sales through data-driven excellence and contribute to our mission of enabling economic growth worldwide.

Key Responsibilities

• Develop and refine quantitative models and algorithms to generate trade ideas in FICC products, focusing on derivatives and fixed income
• Analyze franchise data to identify market opportunities, pricing inefficiencies, and risk exposures for sales teams
• Collaborate with sales and trading desks to promote data-driven insights and algorithmic strategies to institutional clients
• Leverage advanced analytics techniques, including machine learning and statistical modeling, to enhance trade execution and client advisory
• Monitor and report on key performance metrics for FICC franchise activities, providing actionable recommendations to senior management
• Conduct ad-hoc quantitative research to support new product development and market expansion initiatives
• Ensure compliance with internal risk management policies and regulatory standards in all analytical outputs
• Mentor junior analysts and contribute to the continuous improvement of JP Morgan's analytics infrastructure
• Present complex quantitative findings in clear, client-facing formats to drive business growth
• Stay abreast of market trends, technological advancements, and competitive landscapes in global FICC markets

Required Qualifications

• Bachelor's degree in Quantitative Finance, Mathematics, Computer Science, or a related field; advanced degree (Master's or PhD) strongly preferred
• 5+ years of experience in quantitative research, data analytics, or sales support within FICC (Fixed Income, Currencies, and Commodities) markets
• Deep expertise in derivatives pricing, modeling, and risk management, including interest rate swaps, options, and structured products
• Proven track record in developing and promoting algorithmic trade ideas using data-driven insights
• Strong proficiency in programming languages such as Python, R, or C++ for financial data analysis and algorithm development
• Experience working in a high-stakes financial services environment, preferably at a major investment bank
• Excellent communication skills to interface with sales teams, traders, and clients

Preferred Qualifications

• PhD in a quantitative discipline with a focus on financial engineering or econometrics
• Prior experience at JP Morgan Chase or a similar bulge-bracket firm in franchise analytics or market-making
• Familiarity with regulatory requirements in FICC markets, such as Dodd-Frank or MiFID II
• Hands-on experience with big data tools like Hadoop, Spark, or cloud platforms (AWS, Azure) for financial datasets
• CFA, FRM, or CQF certification

Required Skills

• Quantitative modeling and derivatives expertise
• Data analytics and statistical analysis
• Programming in Python, R, or MATLAB
• Machine learning for financial applications
• Risk management and pricing algorithms
• Financial market knowledge in FICC
• SQL and database querying
• Big data processing with tools like Pandas or NumPy
• Communication and presentation skills
• Problem-solving in high-pressure environments
• Team collaboration across sales and trading
• Regulatory compliance awareness
• Econometric modeling
• Algorithmic trading strategies
• Client relationship management

Benefits

• Competitive base salary and performance-based bonus structure aligned with financial services industry standards
• 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, such as tuition reimbursement and access to internal training programs at JP Morgan
• Wellness programs including gym memberships, mental health support, and employee assistance services
• Flexible work arrangements, including hybrid options in New York, NY
• Stock purchase plan and employee discounts on financial products

JP Morgan Chase is an equal opportunity employer.