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Quant Trader - Stat Arb

Salary

$0.0015k - $0.00225k

Min Experience

3 years

Location

New York, NY

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

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.

Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm’s growth.

About The Position

We are seeking a dynamic Quantitative Trader to join our Statistical Arbitrage Desk, where you will play a critical role in developing and implementing systematic trading strategies across equities and futures markets globally. The ideal candidate will have a proven track record in signal research, combination, and portfolio optimization, with experience delivering strategies achieving a minimum 3+ Sharpe Ratio.

Responsibilities

  • Signal Research: Conduct comprehensive research to identify alpha-generating signals in equities and futures. Explore traditional and alternative data sources to uncover unique insights into market dynamics and trading opportunities.
  • Signal Combination: Develop innovative methodologies to combine multiple signals into robust trading strategies. Utilize statistical methods, machine learning algorithms, and ensemble techniques to enhance signal quality and predictive power.
  • Portfolio Optimization: Design and implement advanced portfolio optimization techniques to construct diversified portfolios that maximize risk-adjusted returns. Utilize mathematical optimization frameworks, risk models, and allocation methodologies to allocate capital efficiently across strategies and assets.
  • Systematic Strategy Development: Collaborate with quantitative researchers, developers, and traders to translate research ideas into systematic trading strategies. Design and implement trading algorithms to execute strategies in an automated and scalable manner, leveraging firm’s low-latency infrastructure.
  • Risk Management: Monitor and manage risk exposure across portfolios, employing robust risk management frameworks and position sizing techniques. Conduct stress testing, scenario analysis, and performance attribution to quantify and mitigate various sources of risk.

Qualifications

  • Advanced degree in a quantitative discipline such as Mathematics, Statistics, Economics, Physics, Computer Science, or Engineering. PhD preferred.
  • Proven experience in quantitative trading, statistical arbitrage, or systematic trading, with a focus on equities and futures markets.
  • Strong proficiency in programming languages such as Python, R, or C++ for data analysis, model development, and algorithmic trading.
  • Extensive experience in signal research, signal combination, and portfolio optimization techniques.
  • Exposure to alternative data sources and machine learning techniques for signal generation and trading strategy development.
  • Deep understanding of financial markets, market microstructure, and trading dynamics.
  • Excellent analytical skills with a rigorous and systematic approach to problem-solving.
  • Ability to thrive in a collaborative, team-oriented environment and effectively communicate complex ideas.

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

$150,000 - $225,000 - 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 is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission, and no fee will be paid in the event the candidate is hired by Old Mission.

About the company

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.

Skills

quant
trader
statistical arbitrage
signal research
signal combination
portfolio optimization
systematic strategy development
risk management
python
r
c++
machine learning