Asset Management, Institutional Strategy & Analytics, Quant, Associate, London
J.P. Morgan
Data Science
London, UK
Introductory Marketing Language
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.
Job Summary
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.
Job responsibilities
- 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.
Required qualifications, capabilities, and skills
- 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.
Preferred qualifications, capabilities, and skills
- 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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Develop scalable investment solutions and analytics for institutional clients, leveraging programming and quantitative expertise.




