Quantitative Researcher

Trading Interview

New York (NY)

On-site

USD 170,000 - 300,000

Full time

10 hours ago
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Benefits offered by this job

Fully paid medical, dental, vision, &
401(k) with employer match
Paid vacation, sick, and parentalLeave
Commuter benefits
On-site meals

Job summary

Old Mission Capital, a global quantitative trading firm, seeks a Quantitative Researcher in NYC to work with traders and research infrastructure. You will develop alpha signals, analyze large data sets, and contribute to portfolio construction while collaborating to optimize strategies and assess risk.

The role requires an advanced quantitative degree, expertise in statistical methods, and 3+ years in equity trading, with proficiency in major programming languages.

Qualifications

  • Advanced degree in a quantitative field (e.g., computer science, engineering, mathematics, statistics, or physics).
  • Deep technical understanding of advanced statistical techniques.
  • 3+ years of relevant equity trading experience.
  • Expertise building statistical models for equity forecasts with production deployment experience.
  • Proficiency in at least one of the following languages: C++, Python, R, Matlab, Ruby, Java.
  • Experience leading a team of researchers 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 performance while optimizing and creating new strategies.
  • Assess risk.

Skills

Advanced statistical techniques
C++, Python, R, Matlab, Java
Equity trading experience
Team leadership
Strong communication

Education

Advanced degree in quantitative field

Job description

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement.

About the Position

We\'re constantly asking questions to improve what we already do and explore new opportunities. As a Quantitative Researcher in our NYC office, you\'ll work directly with our traders and research infrastructure to:

  • 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
  • Assess risk
Required Skills
  • 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
Benefits and Perks
  • Fully paid Medical, Dental, Vision, Disability, and Life Insurance
  • Fully stocked kitchen; free breakfast and lunch every day on-site
  • Tuition Reimbursement Program
  • 401(k) with employer match
  • Paid Vacation, Sick, and Parental leaves
  • Commuter and Flexible Spending Programs
Base Salary Range

$170,000 - $300,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter.

Old Mission Capital is a quantitative market-making firm founded in 2008. It prices "thousands of financial instruments globally" and has "traded trillions of dollars of securities using proprietary systems and…

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