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Quantitative Researcher
(more about Old Mission Capital)
This job posting has been archived.
Unfortunately Old Mission Capital has archived this job posting, they are no longer accepting applications.

Quantitative Researcher

Overview

Old Mission Capital, a global quantitative proprietary trading firm is currently hiring a Quantitative Researcher to work in our Chicago office.  This Quantitative Researcher will work closely with traders and software developers to build new quantitative models while optimizing the models used by our equity options team.

Responsibilities

What you’ll do as a Quantitative Researcher at Old Mission Capital:

  • Uncover and identify patterns and correlations using tick data and develop new trading algorithms
  • Identify, design, and backtest low latency strategies using big data
  • Design, develop, and optimize the current models while researching new opportunities for the team.
  • Analyze large data sets to develop and implement alpha signals while contributing to portfolio construction

Qualifications

What qualified candidates will need:

  • A Bachelor’s, Master’s, or PhD in a quantitative field such as computer science, an engineering discipline, mathematics, statistics, or physics.
  • 3+ years of relevant options research experience.
  • Expertise building quantitative models, with a proven track record of deploying such models to production in a team-driven environment.
  • Must be proficient with Python (C++ is a plus)
  • Experience working with large datasets
  • A deep technical understanding of advanced statistical techniques.
  • Superior written and verbal communication skills.

Old Mission Capital is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission Capital via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission Capital, and no fee will be paid in the event the candidate is hired by Old Mission Capital.

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