Execution Research Analyst
Confirmed live in the last 24 hours
ExodusPoint

501-1,000 employees

Website
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

↑ 9%

1 year growth

↑ 3%

2 year growth

↑ 3%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
R
Python
CategoriesNew
Data & Analytics
Quantitative Finance
Requirements
  • MS. or Ph.D. in Mathematics, Statistics, Data Science, Computer Science or Engineering
  • Exceptional quantitative and problem-solving skills with a focus on the ability to formulate hypotheses, conduct empirical tests and cross-validations on practical models for use in trading
  • Strong ability to analyze large volume trading data including tick level datasets using advanced statistical methods
  • Able to think algorithmically, and passionate about using a quantitative approach to solve problems in business world
  • Comfortable with presenting research and analysis, and to articulate findings
  • Programming proficiency in R or Python
  • Strong interest in financial products and investment strategies in general
  • Self-motivated with strong communication skills and ability to work well with various internal and external partners across regions
Responsibilities
  • The Execution Research Team at ExodusPoint is responsible for researching quantitative solutions to improve trading execution efficiency across the firm. The team works closely with trading, trading technology, and portfolio management teams in all regions to optimize execution
  • We are looking to add a junior member who would work with the team of researchers globally to study market structure in Equity, FX, Futures, and contribute to projects including flow-specific trading cost estimation, systematic algorithms evaluation and routing, impact cost modeling, and in-house algorithms inputs calibration
Desired Qualifications
  • Deep understanding of Machine Learning techniques used for financial dataset. Background in building learning system is a plus