Join a front office team at JPMorgan Chase and help shape the future of institutional investment management. As an Institutional Strategy and Analytics Analyst, you’ll collaborate with professionals across asset allocation, optimization, and actuarial science to deliver innovative solutions for insurance companies, pension funds, and other institutional investors. This is your opportunity to grow your career, apply your programming skills, and make a meaningful impact in a dynamic, inclusive environment. We value your analytical mindset, technical expertise, and commitment to excellence.

As an Institutional Strategy and Analytics Analyst, you will support the development and enhancement of investment management solutions for institutional clients. You’ll work on optimization analysis, application development, financial data analysis, and stochastic modeling. The role is primarily UK-focused but may include international components, especially for candidates with relevant language skills. You’ll collaborate with investment teams and the institutional salesforce, gaining broad exposure across asset classes and client types.

• Enhance existing modeling platforms by adapting models to improve scalability, flexibility, and efficiency.
• Develop new analytical capabilities, including models for constrained asset allocation, tactical portfolio optimization, and sales insights.
• Complete client advisory assignments, including analysis, presentation of results, and incorporation of revisions or extensions.
• Develop intellectual capital by producing high-quality research and analysis in response to industry developments.
• Collaborate with investment teams and institutional salesforce to deliver tailored solutions for clients.
• Support application development for internal and external clients, focusing on asset allocation, capital management, and risk management.

• Bachelor’s degree in a quantitative or analytical discipline (e.g., actuarial science, computer science, mathematics, physics, operations research, statistics, engineering) or equivalent experience.
• Excellent programming skills, with experience in Python and agentic AI tools for programming and data applications.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment and communicate complex concepts clearly.

• Experience with object-oriented programming and sound software engineering practices.
• Ability to apply investment management concepts such as efficient frontiers, capital constraints, risk attribution, and factor investing.
• Familiarity with asset classes (e.g., corporate bonds, CLOs, private equity) and their risk and return characteristics.
• Coursework or experience in linear and non-linear optimization, advanced statistical methods, econometrics, and stochastic processes.
• Working familiarity with IFRS accounting, insurance capital models (e.g., Solvency II), or defined benefit pensions.