Join a market-leading team at the forefront of fixed income index research, shaping the future of investment strategies for global clients.

As an Associate in J.P. Morgan’s Global Index Research Group, you will play a pivotal role in maintaining and expanding our global index business. This dynamic front-office position involves client engagement, operational oversight, project management, and data-driven analysis. You will collaborate with cross-functional teams, contribute to product innovation, and help deliver best-in-class index solutions to some of the world’s largest asset managers and institutional investors.

Job responsibilities

Engage directly with clients, analyze data, and identify market trends and opportunities in the fixed income space. Manage multiple high-profile projects, ensuring effective planning and execution with internal and external stakeholders. Educate clients on structural and tactical changes in index products and their market implications. Oversee operational aspects of managing 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.

Required qualifications, capabilities, and skills

Bachelor’s degree or equivalent in Finance, Mathematics, Economics, or a related STEM field. Minimum 3 years of experience in finance, working with large datasets. Proficiency in Python (or similar programming language). Strong organizational skills, ability to manage priorities, and a collaborative team ethic. Clear, logical thinker with strong quantitative and problem-solving abilities. Solid 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 analysis, 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.