J.P. Morgan’s Global Index Research is a central hub for fixed income indices within the Corporate and Investment Bank. As a leading provider of indices across fixed income, we account for over 95% of the EM market share and over $1.5 trillion in assets tracking our index products. Join our team of thought leaders and collaborate with clients in all stages of their investment cycle.

 

Job summary: As an analyst in J.P. Morgan’s Global Index Research Group, you will engage in client interaction, data analysis, and problem-solving. This front-office role involves fulfilling client requests, managing day-to-day operations, and staying on top of market trends. You will collaborate with sales, trading, and technology teams to ensure indices remain replicable and maintain product integrity.

 

Job responsibilities:

Front-Office Engagement: Engage in client interaction, data analysis, and problem-solving, while conducting market analysis to identify trends and opportunities in the fixed income space. Project Management: Manage multiple high-profile deliveries, ensuring effective planning and execution in collaboration with internal and external experts. Client Relationship: Educate internal and external clients on structural and tactical changes in index products and their market implications. Operational Oversight: Oversee operational aspects of managing thousands of indices to maintain product integrity. Product Expertise: Maintain a deep understanding of fixed income and index products to ensure product dependability and applicability. Data Management and Analysis: Collect, organize, and maintain large datasets, and develop quantitative models to analyze financial data and generate actionable insights. Performance and Trend Analysis: Evaluate the performance of existing indices and analyze market trends to inform strategic decision-making.

Required qualifications, capabilities, and skills:

Minimum education and requirements: Bachelor's degree or equivalent in Finance, Mathematics, Economics, or related field (STEM). At least 1 year work experience in finance and working with large data sets. Programming skills in Python (or similar) is a must. Superb organizational skills, decisive priority management, strong teamwork ethic, ability to think locally & execute globally with high social awareness. Clear, logical thinker with strong quantitative problem-solving abilities. Understanding of fixed income concepts, bond math, financial products, analytics, and an awareness of market events is a plus. Good communication skills (both written and verbal). Experience interfacing with clients is a plus.

Preferred qualifications, capabilities, and skills:

Knowledge and experience in statistical modeling, time series, stochastic calculus, probability theory, and numerical methods is a plus. Data Science, Data management, and Data visualization tools and techniques is a plus.