Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
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 will 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 an excellent opportunity to grow your career, apply your programming skills, and make a meaningful impact in a dynamic, inclusive environment. You will support the development and enhancement of investment management solutions for institutional clients through 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 will work closely with investment teams and the institutional salesforce, gaining broad exposure across asset classes and client types.

Key responsibilities include enhancing existing modeling platforms to improve scalability, flexibility, and efficiency; developing new analytical capabilities such as models for constrained asset allocation, tactical portfolio optimization, and sales insights; completing client advisory assignments including analysis, presentation of results, and incorporating revisions; producing high-quality research and analysis in response to industry developments; collaborating with investment teams and salesforce to deliver tailored client solutions; and supporting application development focused on asset allocation, capital management, and risk management.

Experience
Bachelor's degree in a quantitative or analytical discipline such as actuarial science, computer science, mathematics, physics, operations research, statistics, or engineering, or equivalent experience. Strong programming skills with experience in Python and agentic AI tools for programming and data applications. Demonstrated analytical and problem-solving abilities. Ability to work collaboratively in a team environment and communicate complex concepts clearly.

About you
Detail-oriented and motivated individual with a passion for quantitative finance and investment management. Comfortable working in a fast-paced, collaborative environment. Strong communication skills and a commitment to excellence. Interest in developing innovative solutions and intellectual capital in response to industry trends.

Qualifications
Preferred experience with object-oriented programming and sound software engineering practices. Familiarity with investment management concepts such as efficient frontiers, capital constraints, risk attribution, and factor investing. Knowledge of asset classes including corporate bonds, CLOs, and 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 is advantageous.