Quantitative Researcher
Updated on 3/1/2024
Old Mission

201-500 employees

Global multi-asset market maker using proprietary systems
Company Overview
Old Mission stands out as a global, multi-asset market maker with a proven track record, having traded trillions of dollars of securities using their proprietary systems and models. Their advanced platform, developed since 2008, allows them to dynamically value a wide range of financial instruments, offering competitive pricing often tighter than their competitors. As a trusted partner to the world's largest exchanges, brokers, and institutional investors, Old Mission demonstrates industry leadership and a strong, collaborative culture.
Financial Services
Data & Analytics

Company Stage

Private

Total Funding

N/A

Founded

2008

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

2%

1 year growth

24%

2 year growth

32%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
Ruby
Java
MATLAB
CategoriesNew
Data Analysis & Power BI
Quantitative Analysis
Quantitative Research
Quantitative Trading
Quantitative Finance
Data & Analytics
Requirements
  • An advanced degree in a quantitative field such as computer science, an engineering discipline, mathematics, statistics, or physics
  • A deep technical understanding of advanced statistical techniques
  • 3+ years of relevant equity trading experience
  • Expertise building statistical models equity forecasts, with a proven track record of deploying such models to production equity trading systems
  • Proficiency in at least one of the following languages: C++, Python, R, Matlab, Ruby, Java
  • Experience leading a team of researchers, either in industry or academia
  • Superior written and verbal communication skills
Responsibilities
  • Conduct research and analyze large data sets to develop and implement alpha signals while contributing to portfolio construction
  • Collaborate with others to analyze the performance while optimizing and creating new strategies
  • Develop pricing models
  • Assess risk