Global Index Research Group - Associate

Next Frontier Capital; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

TwinThread seeks an Associate to join their Global Index Research Group, working closely with clients and contributing to strategic decisions in fixed income indices. This position offers an exciting opportunity to engage in market analysis and project management while becoming a subject matter expert in index products.

The ideal candidate should possess a Bachelor’s degree in Finance, Mathematics, or a related field, with strong analytical skills, proficiency in Python, and the ability to manage multiple high-profile projects.

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• Solid experience in finance and working with large datasets.
• Proficiency in Python or similar programming language.

Responsibilities

• Engage with clients, analyze data, and identify trends in the fixed income space.
• Manage high-profile projects ensuring effective planning and execution.
• Educate clients on changes in index products and their market implications.

Skills

Finance knowledge

Data analysis

Python proficiency

Organizational skills

Quantitative problem solving

Communication skills

Education

Bachelor’s degree in Finance, Mathematics, Economics, or related STEM field

Tools

Data visualization tools

Job description

Are you ready to make an impact in the world of index research? As part of our Global Index Research Group, you will help shape the future of fixed income indices, working alongside talented colleagues across the globe. You will have the opportunity to grow your expertise, engage directly with clients, and contribute to strategic decisions that influence the industry. At J.P. Morgan, you will thrive in a collaborative, fast-paced environment where your skills and ideas are valued and career mobility is encouraged.

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.
• Solid 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.