Asset Management - Global Equities - Data Science - Analyst/Associate Asset Management - Global Equities - Data Science  …

J.P.Morgan
in New York, NY, United States
Permanent, Full time
Last application, 22 Aug 19
Competitive
J.P.Morgan
in New York, NY, United States
Permanent, Full time
Last application, 22 Aug 19
Competitive
Asset Management - Global Equities - Data Science - Analyst/Associate
JPMorgan Chase & Co . is a leading global financial services firm with assets of more than $2.7 trillion, over 240,000 employees and operations in over 60 countries. It operates across four business segments including Asset & Wealth Management, Corporate and Investment Banking, Commercial Banking and Consumer and Community Banking .

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

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.

Job Description

The Equity Data Science team is a recently formed function within Global Equities. We are tasked with using modern machine learning techniques to enrich our investment process. This can range from problems in portfolio construction, to signal generation, to projects for fundamental research. Given this mandate, a non-financial background would be acceptable if the candidate had a strong data science skillset and was willing to learn. The successful candidate will sit in the front office working with portfolio managers and research analysts.

Responsibilities

Members of the team are expected to work on projects along the full data science spectrum. From data acquisition and wrangling, to model selection to presentation and data visualization. They should be able to take an unstructured alternative dataset and uncover the alpha within. The role requires the successful candidate to work as a part of a globally distributed data science team. They will work with stakeholders and subject matter experts to understand problems then find innovative, practical solutions.



Qualifications

  • A demonstrable practical interest in data science (Kaggle, GitHub etc)
  • An understanding of the state of the art in data science and the ability to explain core principals and approaches
  • A highly logical, methodical working pattern
  • The ability to interpret data and succinctly present conclusions
  • Experience in a statistical programming language (Python 3.x preferred)
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