As an analyst in J.P. Morgan’s Global Index Research Group, you will play a pivotal role in fulfilling client requests, overseeing operations, and managing index construction projects. This dynamic, front-office role requires strong quantitative and communication skills, and familiarity with coding languages.

The Global Index Research Group is a central hub for fixed income indices within J.P. Morgan’s Corporate and Investment Bank. We are a leading provider of indices across fixed income, with a significant market presence. Our analysts are thought leaders in the indexing lifecycle and collaborate with clients globally. The group is responsible for creating, managing, and marketing proprietary indices and research data for beta-access products.

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. 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. Superb organizational skills, decisive priority management, strong teamwork ethic, ability to think locally & execute globally with high social awareness.

Preferred qualifications, capabilities, and skills:

Knowledge and experience in statistical modeling, time series, stochastic calculus, probability theory, and numerical methods is a plus.