The Institutional Strategy and Analytics (IS&A) team within J.P. Morgan Asset Management (JPMAM) is a front office client facing group of professionals within asset management who have varied backgrounds in asset allocation, asset liability management (ALM), consulting, optimization, programming, and actuarial science. The IS&A team develops applications to provide asset allocation, capital management, risk management and other advisory services to institutional clients and prospects on a global basis.  The IS&A team works primarily with insurance companies due to the complexity of insurance company investment constraints but also supports pension schemes and other institutional investors.  Within JPMAM the IS&A team works closely with all investment teams as well as with the institutional salesforce. 

Role Summary

You are a fit for this Paris based role if you have strong programming and other analytical skills and would like to develop a broad background in investment management across all asset classes and institutional client types.  You will work to help develop scalable investment management solutions for insurance companies, pension funds, and other institutional investors.  The role involves optimization analysis, application development for internal and external clients, analysis of financial data, and stochastic modeling. Most of the work will be European focused but the role could have international components, especially if the candidate has relevant language skills. 

Job Responsibilities

Enhancement of existing modeling platform – Work to adapt existing models to improve scalability, flexibility, and efficiency.  Development of new analytical capabilities – Help implement new models for constrained asset allocation including tactical portfolio optimization, using various data sets to generate sales insights, and developing other applications as needed.  Completion of client advisory assignments – Analysis for clients including completing analysis to meet their needs, presentation of results, and incorporation of revisions/extensions as needed.  Development of intellectual capital – Help produce high quality research/analysis in response to industry developments. 

Required qualifications, capabilities and skills 

Bachelors degree in a quantitative/analytical discipline such as actuarial science, computer science, mathematics, physics, operations research, statistics, engineering or equivalent experience (graduate degree is preferred but not required).  Excellent programmer with experience in Python or Matlab.

Preferred qualifications, capabilities and skills

Working familiarity with IFRS accounting, insurance capital models (such as Solvency II), or defined benefit pensions. Experience with object-oriented programming and sound software engineering practices. Ability to apply basic investment management concepts, such as efficient frontiers, capital constraints, risk attribution and risk limits, factor investing, etc. Familiarity with basic asset classes (e.g., corporate bonds, CLOs, private equity) and their expected return, market risk, credit risk, structure, liquidity, cash flow characteristics, diversification benefits, etc. Coursework or work experience covering linear and non-linear optimization (including the formulation of problems, development of constraints, and use of software to solve these problems, especially mixed integer optimization problems), advanced statistical methods, econometrics, and stochastic processes.