|Job Type:||Full Time|
J.P. Morgan Asset & Wealth Management, is a global leader in investment and wealth management. Its clients include institutions, high-net-worth individuals and retail investors in every major market throughout the world. The division offers investment management across all major asset classes including equities, fixed income, alternatives, multi-asset and money market funds. For individual investors, the business also provides retirement products and services, brokerage and banking services including trusts and estates, loans, mortgages and deposits.
Asset Management is a leading investment manager of choice for institutions, financial intermediaries and individual investors, worldwide. With a heritage of more than two centuries, a broad range of core and alternative strategies, and investment professionals operating in every major world market, we offer investment experience and insight that few other firms can match.
The equity trading analytics and strategy team is focussed on the quantitative analysis of trading performance and strategy development. This involves detailed transaction cost analysis (TCA), design of systematic trading strategies, and supporting the ongoing trading process. The analytics function is performed by a global team with members in New York, London, and Hong Kong using a global trading analytics platform. We are looking for a talented VP level candidate to lead the EMEA region.
Own the reporting of trading performance for the EMEA region
Co-develop and assist in the implementation of systematic trading systems/strategies with traders and technology teams
Enhance the tools and processes used to monitor the performance of brokers, traders and strategies
Manage the health and development of the analytics platform for the EMEA region (e.g. OMS/EMS data feeds and market data services)
Manage other junior team members
Professional experience in a programming language for data analytics (Python/R/Matlab)
Strong SQL and Tableau experience
Experience in an equity trading, strategist or analytics role
Ability to present ideas in a clear and concise manner to traders and senior investors
Good understanding of EMEA equity market microstructure
Good understanding of technology development methods and strong working relationships with technology teams in delivering large scale projects
Knowledge and experience in machine learning (especially clustering and bandit algorithms)
Knowledge and experience in various OMS / EMS data models
Previous experience working in a global team and interacting with regulators