Quantitative Researcher
Stamford, CT or New York
Posted on 1/30/2024
ExodusPoint

501-1,000 employees

Capital management & investment strategy company
Company Overview
ExodusPoint’s mission is to deliver compelling asymmetric returns by combining complementary liquid strategies managed by seasoned professionals within a robust risk framework. The company utilizes a multi-strategy investment approach and offers a compelling risk adjusted return profile.
Venture Capital

Company Stage

N/A

Total Funding

N/A

Founded

2017

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

7%

1 year growth

7%

2 year growth

4%
Locations
Stamford, CT, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
CategoriesNew
Quantitative Finance
Requirements
  • Bachelor’s, Master’s, or PhD in Statistics, Econometrics, Computer Science, Astrophysics, Astronomy, or STEM-related data heavy fields
  • 5 years of experience working in a computational, quantitative, or data-rich research position
  • Experience and success working with large and diverse data sets
  • Strongly skilled in Python
  • Graduate training in Time Series or Signal Processing
Responsibilities
  • Explore, analyze, and harness predictive information from a large variety of data sets
  • Research and develop short-term signals for systematic trading strategies in commodities markets
  • Aid in developing and extending the team’s proprietary research platform
  • Collaborate with the Senior Portfolio Manager and the trading group in a transparent environment
  • Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research
Desired Qualifications
  • SDLC experience
  • Experience building short-term trading strategies in macro-markets (futures, currencies, interest rates)
  • Experience working with large data sets, such as those in astronomy or astrophysics
  • Experience in quantitative, econometrics, asset pricing, or macro sub-fields