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Asset Management, Institutional Strategy & Analytics, Quant, Associate, London

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 4 days ago

No clicks

**Asset Management Associate (Quantitative, Strategy & Analytics) - London** Leverage your programming skills and quantitative background to drive institutional investment management. In this role, you'll enhance modeling platforms, develop analytics capabilities, and collaborate cross-functionally to deliver tailored solutions. Duties include optimization analysis, application development, financial data analysis, and stochastic modeling. Key requirements include a quantitative degree or equivalent, superior programming skills (Python), strong problem-solving abilities, and team-oriented mindset. This UK-focused role may involve international components, valuing relevant language skills. Preferred qualifications encompass software engineering experience, investment management concepts, and familiarity with diverse asset classes.

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Full Job Description

Location: LONDON, LONDON, United Kingdom

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, youll 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. Youll 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. Youll 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

  • Bachelors 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.
  • Develop scalable investment solutions and analytics for institutional clients, leveraging programming and quantitative expertise.

    Asset Management, Institutional Strategy & Analytics, Quant, Associate, London

    Compensation

    Not specified

    City: London

    Country: United Kingdom

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    4 days ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    **Asset Management Associate (Quantitative, Strategy & Analytics) - London** Leverage your programming skills and quantitative background to drive institutional investment management. In this role, you'll enhance modeling platforms, develop analytics capabilities, and collaborate cross-functionally to deliver tailored solutions. Duties include optimization analysis, application development, financial data analysis, and stochastic modeling. Key requirements include a quantitative degree or equivalent, superior programming skills (Python), strong problem-solving abilities, and team-oriented mindset. This UK-focused role may involve international components, valuing relevant language skills. Preferred qualifications encompass software engineering experience, investment management concepts, and familiarity with diverse asset classes.

    Full Job Description

    Location: LONDON, LONDON, United Kingdom

    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, youll 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. Youll 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. Youll 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

  • Bachelors 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.
  • Develop scalable investment solutions and analytics for institutional clients, leveraging programming and quantitative expertise.