As an Associate in J.P. Morgan’s Global Index Research Group, you will play a key role in maintaining and growing our global index business. This front-office position offers exposure to client engagement, project management, and market analysis, while collaborating with teams across the globe. You will become a subject matter expert in index products, contribute to product development, and help drive strategic decisions in a fast-paced, team-oriented environment.

Job responsibilities

• Engage with clients, analyze data, and solve problems while identifying trends and opportunities in the fixed income space.
• Manage multiple high-profile projects, ensuring effective planning and execution with internal and external experts.
• Educate clients on structural and tactical changes in index products and their market implications.
• Oversee operational aspects of thousands of indices to maintain product integrity.
• Maintain deep expertise in fixed income and index products to ensure product dependability and applicability.
• Collect, organize, and analyze large datasets; develop quantitative models to generate actionable insights.
• Evaluate index performance and market trends to inform strategic decisions and identify improvements.
• Create data visualizations and reports to communicate complex findings and support data-driven decision-making.

Required qualifications, capabilities, and skills

• Bachelor’s degree or equivalent in Finance, Mathematics, Economics, or related STEM field.
• At least 3 years of experience in finance and working with large data sets.
• Proficiency in Python (or similar programming language).
• Strong organizational skills, priority management, and teamwork ethic.
• Ability to think locally and execute globally with high social awareness.
• Strong quantitative and analytical problem-solving abilities.
• Understanding of fixed income concepts, bond math, financial products, and market events.
• Excellent written and verbal communication skills.

Preferred qualifications, capabilities, and skills

• Experience interfacing with clients.
• Knowledge of statistical modeling, time series, probability, and numerical methods.
• Familiarity with data science, data management, and data visualization tools and techniques.
• Experience with portfolio construction or fixed income strategy roles.