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Hfs Senior Research Analyst – Systematic Strategies, Hedge Fund Solutions, Vice President
Recruited by Morgan Stanley 1 year ago Address West Conshohocken, PA, United States

Data Engineer, Hedge Fund Solutions, Associate

Company

Morgan Stanley
Address , West Conshohocken, 19428, Pa
Employment type FULL_TIME
Salary
Expires 2023-06-12
Posted at 1 year ago
Job Description
Data Engineer, Hedge Fund Solutions, Associate

Job Number:

3234508

POSTING DATE: Mar 27, 2023
PRIMARY LOCATION: Americas-United States of America-Pennsylvania-West Conshohocken
JOB: Investing
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Analyst

DESCRIPTION

Morgan Stanley Investment Management (“MSIM”), together with its investment advisory affiliates, has approximately 1,100 investment professionals around the world and operates in 22 countries with $1.6Tn in assets under management or supervision as of December 31, 2021.

Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service, and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations, and individuals worldwide.

Morgan Stanley Alternative Investment Partners, L.P. (“MS AIP”) is Morgan Stanley Investment Management’s alternative investments group. MS AIP consists of three units – the Hedge Funds Solutions Group, the Private Equity Fund of Funds Group, and the Real Estate Fund of Funds Group. MS AIP is staffed with over 150 employees. It is based in West Conshohocken, Pennsylvania (a suburb of Philadelphia), with additional offices in New York, Atlanta, San Francisco, London, and Hong Kong.


RESPONSIBILITIES
  • Troubleshoot and resolve data issues including performing analysis and investigating root causes
  • Work with front office investment analysts, backend IT engineers, and a wide range of vendors and internal teams
  • Monitor and maintain constantly changing data sets for new asset classes and manage data across a variety of systems
  • Manage, maintain and optimize big data used in prescriptive and predictive modeling
  • Integrate multiple raw data sets into useful data systems

QUALIFICATIONS


  • Fast learner and ability to quickly learn new data sets and systems
  • Strong attention to detail
  • 5 years of relevant experience
  • Working knowledge of R/Tidyverse and/or Python/Pandas
  • Working knowledge of statistical methods to work with large data sets
  • Experience with APIs, SQL database design, Python, Java and/or R programming
  • Superior written and verbal communication skills and track record of successfully collaborating with a variety of stakeholders
  • Excellent knowledge of SQL to facilitate work in relational databases
  • Understanding of financial instruments and core investment concepts

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools.
We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).