Research Associate

Company Overview

We are a Boston-based investment manager that provides global and international equity investment strategies and fund products to institutional investors such as pension plans, endowments, foundations, and registered/unregistered commingled investment funds. We are a registered investment adviser with the U.S. Securities and Exchange Commission (SEC), and a registered commodity trading advisor and commodity pool operator with the U.S. Commodity Futures Trading Commission (CFTC).  Our firm manages over $90 billion for over 175 client relationships in North America, Europe and Australasia.  Our offices are located at 200 Clarendon Street, Boston, Massachusetts.


The Research Team

Our research group is a collaborative, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return and risk forecasts based on the signals to drive trading decisions.  We are looking for a new associate to join our research team. 

Your responsibilities are expected to grow in line with your experience and abilities.  Depending on your competitive advantages, typical responsibilities may include:

  • Merging, structuring, and analyzing large amounts of data from various sources
  • Assessing quality of historical panel data, diagnosing deficiencies and prescribing fixes
  • Working with developers to design feeds for new data sources from third-party vendors
  • Participating in data architecture decision-making to support research analytics platform
  • Performing ad-hoc exploratory statistics and analysis on research data sets
  • Writing and maintaining code that supports the investment research process
  • Researching predictable patterns in asset returns, risks, and trading costs



To be an ideal candidate, you will have:

  • An undergraduate or graduate degree from a top educational institution in a technical field, such as applied mathematics, economics, engineering or computer science
  • Demonstrated professional or academic success (recent graduates are encouraged to apply)
  • Strong analytical, quantitative, and problem solving skills
  • Understanding of probability, statistics, linear regression, and time-series analysis
  • 2+ years of experience with a statistical computing environment such as Stata, R, or SAS
  • Experience analyzing large data sets
  • Interest in financial markets
  • Great communication skills

In addition, we are looking for either:

  • Expert programming skills
  • 2+ years of experience with programming in Python
  • Experience with database software such as MS SQL Server


  • Good understanding of the academic field of empirical asset pricing
  • Familiarity with financial data products such as Worldscope, Thomson Reuters Estimates, etc.
  • Experience with stock market data sets

Qualified candidates should submit a resume to Please include a cover letter detailing your short and long-term career goals and copies of transcripts. No telephone calls please.