Senior Systematic Equities Trader
Updated on 2/23/2024
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

4%

1 year growth

26%

2 year growth

33%
Locations
Chicago, IL, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Communications
CategoriesNew
Finance & Banking
Quantitative Finance
Requirements
  • Bachelor’s degree or equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Finance, Economics, or a related technical or scientific field.
  • Extensive experience in quantitative/systematic trading, ideally in cash equities (domestic and foreign markets) or equity derivatives (futures, ETFs, etc).
  • Full stack trading strategy development skills and experience, including model/signal generation, strategy, execution, optimization, and risk management.
  • Ability to write software in Python, C++, or both.
  • Excellent written and oral communication skills.
  • Self-starter with a strong desire to build a successful trading desk at Old Mission.
Responsibilities
  • Work closely with internal engineering and research teams to develop proprietary trading strategies, theoretical pricing models, and risk management techniques.
  • Collaborate with the team on intraday/short-term alpha research, focusing on idea generation, data gathering, research/analysis, and model implementation for systematic trading strategies.
  • Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models.
  • Design and implement short-term trading strategies using Python and C++ which use Old Mission’s low-latency trading infrastructure to produce superior risk-adjusted returns.