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$11K

$129.7K

$198K

How much do statistical arbitrage quantitative jobs pay per year?

As of Sep 14, 2026, the average yearly pay for statistical arbitrage quantitative in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a statistical arbitrage quantitative analyst?

A Statistical Arbitrage Quantitative Analyst, often called a 'Stat Arb Quant,' is a finance professional who develops and implements mathematical models to identify and exploit short-term trading opportunities. These opportunities are based on statistical relationships between different financial instruments, such as stocks or currencies. Stat Arb Quants use advanced statistical techniques, programming, and large datasets to construct and manage automated trading strategies. Their goal is to generate consistent profits by capitalizing on temporary price discrepancies in the market.

What skills and qualifications are needed to thrive as a statistical arbitrage quantitative analyst?

To thrive as a Statistical Arbitrage Quantitative Analyst, you need advanced quantitative skills, strong programming ability (often in Python, R, or C++), and a background in mathematics, statistics, or a related field. Familiarity with statistical modeling software, trading platforms, and experience with financial data feeds or databases is typically required. Exceptional analytical thinking, attention to detail, and the ability to work under pressure are crucial soft skills in this role. These skills enable the development and execution of profitable trading strategies, effective risk management, and quick decision-making in dynamic financial markets.

What are common challenges faced by statistical arbitrage quantitative professionals in developing and maintaining trading strategies?

Statistical Arbitrage Quantitative professionals often face challenges such as adapting models to rapidly changing market conditions and managing risks associated with overfitting to historical data. Additionally, they must continuously monitor and refine algorithms to ensure strategies remain profitable and robust in the face of evolving market microstructure and competition. Collaboration with technology teams is also essential to optimize execution and data pipelines, making strong communication skills important alongside technical expertise.

What is the difference between Statistical Arbitrage Quantitative vs Quantitative Analyst?

AspectStatistical Arbitrage QuantitativeQuantitative Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often CFA or CQFDegree in Finance, Economics, Mathematics, or related fields; certifications like CFA common
Work EnvironmentQuantitative trading firms, hedge funds, proprietary trading desksInvestment banks, asset management firms, hedge funds
Job FocusDeveloping models for short-term trading strategies based on statistical patternsAnalyzing financial data, developing models for investment decisions

While both roles involve quantitative skills and financial data analysis, Statistical Arbitrage Quantitative specialists focus on developing trading strategies based on statistical patterns for short-term trading, often within trading firms. Quantitative Analysts may work across broader financial analysis, risk management, and investment decision-making in various financial institutions.

What are popular job titles related to Statistical Arbitrage Quantitative jobs?

For Statistical Arbitrage Quantitative jobs, the most frequently searched job titles are:

Infographic showing various Statistical Arbitrage Quantitative job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 84% Full Time, 13% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Quantitative Researcher - Internship - Summer 2027

New York, NY

InfiniteQuant
See more jobs at InfiniteQuantexternal

$6.0K - $10K/mo

Full-time, Temporary, Internship

Re-posted 17 days ago

Job description

Company Description

InfiniteQuant is a global quantitative trading and technology company. 

As a privately owned and funded proprietary trading firm, we focus on high-frequency quantitative trading across global financial markets.

Our entire technology stack, from market data infrastructure and research platforms to simulation engines, execution systems, and trading strategies, is built in-house.

Our high-frequency trading strategies generate hundreds of millions of order messages daily across thousands of symbols on major electronic exchanges. We maintain a multi-year archive of historical tick-by-tick market data, powering quantitative research, simulation, and strategy development.
Website: www.infquant.com
LinkedIn: linkedin.com/company/infinitequant

Job Description

InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates. 

We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options.

Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field.

Tracks

Track1 - High-Frequency Trading

  • Analyze order book data and market trade data to generate high-frequency signals with strong statistical significance.
  • Directly responsible for the construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.

Track2 - Prediction Market Trading

  • Engage in sports and prediction market trading using quantitative pricing and liquidity management techniques.
  • Monitor, track, and analyze sports prediction markets, including betting odds, price movements, and market sentiment, and provide insights for predicting sports outcomes.

Benefits

  • Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training.
  • USA or UAE working visa sponsorship for qualified candidates if needed.
  • Career workshop.
  • Team outing event and team dinner.
  • Earn performance-based bonus.
  • Corporate swag
  • Well-stocked office kitchen.

Salary Range

$6,000-$10,000 per month

Location

  • USA: Downtown Manhattan, New York
  • UAE: Jumeirah Lakes Towers (JLT), Dubai
  • Hong Kong

Interview Process

The interview process includes a few rounds with Quants, a coding test, and concludes with a final interview. 

Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from HFT proprietary trading firms or hedge funds.

Other Frequently Asked Questions & Answers
Please refer to Google Doc https://drive.google.com/file/d/1EhoCCfqRnrNC8S5lbx6x49JulW970-V9/view?usp=sharing

    Qualifications
    • Candidates must pursue or hold a Master's or Ph.D. in a quantitative discipline with an understanding of market microstructure. 
    • Experience in leading HFT prop shops, trading firms, or hedge funds.
    • Work or internship experience in crypto trading is a plus.
    • Proficiency in data-driven research, advanced statistics, and strategy development is expected. 
    • Strong Python skills, particularly with NumPy and pandas. 
    • Proficiency in C++.
    • Machine Learning / Deep Learning experience
    • competitive experience on Kaggle or similar platforms is a big plus
    Additional Information

    InfiniteQuant LLC is an Equal Employment Opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military and veteran status, and any other characteristics protected by applicable law. We seek to recruit, develop, and retain the most talented and qualified applicants from a diverse candidate pool.

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