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Statistical Arbitrage Jobs (NOW HIRING)

DRW

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

Qualifications * 2+ years of prior work experience in statistical arbitrage or systematic trading research * Proven ability to conduct research with large, noisy real-world datasets * Strong ...

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Statistical Arbitrage information

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$68K

$90.1K

$107.5K

How much do statistical arbitrage jobs pay per year?

As of Aug 20, 2026, the average yearly pay for statistical arbitrage in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What is statistical arbitrage?

Statistical arbitrage refers to a type of quantitative trading strategy that uses mathematical models and statistical methods to identify and exploit short-term mispricings or inefficiencies in the financial markets. Traders analyze historical price data, correlations, and patterns to make predictions about future price movements, often executing high-frequency trades across multiple securities. The goal is to profit from temporary price divergences that are expected to revert to their historical relationships. Statistical arbitrage is commonly used by hedge funds and proprietary trading firms, and it typically requires sophisticated technology and strong programming skills.

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

To thrive as a Statistical Arbitrage Analyst, you need strong quantitative analysis skills, advanced knowledge of statistics, mathematics, and programming, usually supported by a degree in a quantitative field like finance, math, or computer science. Familiarity with programming languages such as Python or R, experience with statistical modeling tools, and proficiency in trading platforms and data analysis systems are essential. Exceptional problem-solving abilities, attention to detail, and the capacity to work under pressure set top performers apart in this role. These skills enable analysts to develop, implement, and refine profitable trading strategies in fast-moving financial markets.

What are some common challenges faced by professionals working in statistical arbitrage roles?

Professionals in statistical arbitrage often encounter challenges such as adapting models to rapidly changing market conditions and ensuring that trading algorithms remain robust in the face of noisy data. Managing risk and avoiding overfitting when developing predictive strategies are also key concerns. Collaboration with technology teams is essential, as maintaining efficient data pipelines and low-latency execution systems can directly impact trading performance. Additionally, staying updated with advancements in quantitative methods and financial regulations is crucial for long-term success in the field.

What is the difference between Statistical Arbitrage vs Quantitative Analyst?

AspectStatistical ArbitrageQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or related field; strong programming skillsDegree in finance, mathematics, or related field; advanced analytical skills
Work EnvironmentTrading firms, hedge funds, proprietary trading desksFinancial institutions, investment banks, hedge funds
Industry UsageUsed for developing trading strategies based on statistical modelsUsed for analyzing markets, developing models, and advising on investments

While both roles require strong quantitative skills and similar educational backgrounds, Statistical Arbitrage focuses on developing and executing trading strategies based on statistical models, often in trading environments. Quantitative Analysts typically work on broader financial modeling, risk assessment, and investment analysis across various financial products. The roles overlap but differ mainly in their primary focus and application within the finance industry.

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Statistical Arbitrage jobs near you
Infographic showing various Statistical Arbitrage job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.

Quantitative Researcher - Volatility (I)

Squarepoint Capital

New York, NY

$185K/yr

Full-time

Posted 22 days ago

Job description

Squarepoint Services US LLC seeks a Quantitative Researcher Volatility Team for its New York, New York location.

Duties: On behalf of an investment management firm formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on equities or other asset classes. Produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects. Perform validation and testing of both trading simulations and critical trading applications. Build applications utilizing Shell and Python to automate daily data dependency processing for trading strategies. Utilize KDB/Q and Python to analyze existing strategy behavior and propose and implement improvements. Utilize Excel/VBA mathematical models and KDB analysis tools to track market history of specific asset classes to evaluate future profit potentials and risk margins. Manage live trading automatons and perform continuous monitoring of risk related to live trading automatons. Leverage on asset-class-specific experience to find new patterns in market data and explore new methods to optimize execution costs. Utilize extensive knowledge of market structure and statistical arbitrage to improve on existing trading strategies and develop new trading strategies. Assist team's senior quantitative researcher's efforts in building, validating, releasing, and maintaining highly complex automated trading models. Pilot research projects spanning multiple teams across multiple regions to develop new mathematical models and analytical tools for critical investment decision making.

Requirements: Must have a minimum of a Master's degree or foreign equivalent in Financial Engineering / Financial Mathematics or related and 1 year of experience as a Quantitative Researcher, Quantitative Trader, or related position for a hedge fund or market maker. Must have at least one (1) years of employment experience with each of the following required skills: Utilize options knowledge to perform asset specific research and engage in real trading. Analyze, optimize, and blend different styles of signals that predict various targets in options market. Conduct option portfolio construction based on mathematical optimization problems. Simulate different systematic trade ideas and evaluate backtest performance. Develop monitoring reports for live strategies and perform risk management. Program in kdb+/q and python for data analysis and strategy development

Salary / Rate Minimum/yr: $160,000

Salary / Rate Maximum/yr: $185,000

40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer

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