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Statistical Arbitrage Jobs (NOW HIRING)

Verition Group LLC

Senior Risk Strategist

New York, NY · On-site

$150K - $200K/yr

... Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global ... Statistics, Engineering, or a related field (advanced degree preferred). • 7-10 years of ...

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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 Jul 9, 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 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 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, and why are they important?

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 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.

More about Statistical Arbitrage jobs
What cities are hiring for Statistical Arbitrage jobs? Cities with the most Statistical Arbitrage job openings:
What states have the most Statistical Arbitrage jobs? States with the most job openings for Statistical Arbitrage jobs include:
What job categories do people searching Statistical Arbitrage jobs look for? The top searched job categories for Statistical Arbitrage jobs are:
Statistical Arbitrage jobs near you
Infographic showing various Statistical Arbitrage job openings in the United States as of July 2026, with employment types broken down into 28% As Needed, 36% Full Time, 1% Part Time, 1% Contract, 33% Nights, and 1% Summer. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $90,119 per year, or $43.3 per hour.

Quantitative Researcher - Internship - Summer 2027

InfiniteQuant

New York, NY • On-site

$6.0K - $10K/mo

Full-time, Temporary, Internship

Re-posted 11 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.
Everything from data to strategy, simulation, and trading systems is developed in-house.
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 1-2 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.
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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