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Statistical Arbitrage Jobs (NOW HIRING)

Point72

Quantitative Software Developer

New York, NY · On-site

We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw ...

Point72

Quantitative Software Developer

New York, NY · On-site

We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw ...

Point72

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw ...

Quanta Search

Data Research Developer

Manhattan, NY · On-site

They are looking for a data engineer to join their quantitative development team who will be a close partner to Equities Statistical Arbitrage trading team. This role can be based in New York, NY or ...

Quanta Search

Data Research Developer

Manhattan, NY · On-site

They are looking for a data engineer to join theirquantitative development team who will be a close partner to Equities Statistical Arbitrage trading team. This role can be based in New York, NY or ...

Point72

Data Engineer

New York, NY

$125K - $150K/yr

We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw ...

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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All JobsStatistical Arbitrage Jobs

Statistical Arbitrage information

See salary details

$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:
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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.
Summer 2027 Quantitative Research Internship

Summer 2027 Quantitative Research Internship

Point72

New York, NY • On-site

$240K - $300K/yr

Full-time, Temporary, Internship

Re-posted 17 days ago

Job description

Please send CVs to KEPL-talent@cubistsystematic.com with "2027 QR Summer Internship Application" in the subject line. When your application is received, we will consider you for all similar positions at Cubist.
About Our Firm:
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
About Our Team:
KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.
Role / Experience:
We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.
Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.
Requirements:
  • PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
  • Strong knowledge of computational math, probability, and statistics
  • Strong analytical skills, with attention to details
  • Good communication skills
  • Willing to work in a fast-paced start-up environment
  • Willing to learn and to take ownership
  • Strong programming skills in Python or C/C++
  • Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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