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Statistical Arbitrage Jobs (NOW HIRING)

Midpoint Markets

Software Developer

San Francisco, CA · On-site

Our core strategies span market-making, HFT, and statistical arbitrage. We're a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research ...

Midpoint Markets

Our core strategies span market-making, HFT, and statistical arbitrage. We're a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research ...

Morgan Stanley

Vice President, Sales

Manhattan, NY · On-site

$230K - $250K/yr

Strategies including VWAP, TWAP, POV, smart order routing, market making, and statistical arbitrage; * Data Analysis in KDB and Python; * Technology Project Management; * Systems Architecture and ...

Point72

Business Manager, KEPL

New York, NY · On-site

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 ...

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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 Sep 14, 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 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 $90,119 per year, or $43.3 per hour.

Prediction Markets Trader (Nights & Weekends)

Austin, TX • On-site

Virtu Financial
Finance and Insurance • 51 - 200 employees
Learn more about Virtu Financialexternal

Full-time

Re-posted 15 days ago

Job description

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide.
The Role
We are seeking a sharp, reliable, and self-directed Prediction Markets Trader to cover our prediction markets book during nights and weekends. This is a unique role sitting at the intersection of trading, market operations, and emerging alternative markets. The ideal candidate thrives in a fast-moving, lower-supervision environment, exercises strong independent judgment, and takes genuine ownership of their responsibilities.
Key Responsibilities
Trading & Monitoring
  • Monitor live prediction market positions across platforms (e.g., Kalshi, Polymarket, Manifold, PredictIt) during assigned night and weekend shifts
  • Track real-time event resolution, market liquidity, and price movements; flag anomalies or unexpected developments
  • Maintain position awareness and escalate risk concerns to senior traders or risk management per established protocols
  • Execute straightforward trades and position adjustments within pre-defined risk parameters
  • Monitor automated systems and alert on model or execution anomalies

Operations
  • Manage platform-level operational tasks including instrument definitions and account maintenance across exchanges
  • Ensure accurate trade capture and reporting; escalate breaks or discrepancies promptly
  • Document market events, resolutions, and any operational incidents during shift
  • Coordinate handoffs with the day shift trading team, providing clear and concise written summaries each morning
  • Assist in onboarding to new prediction market platforms as the landscape evolves

Our ideal candidate is dependable, trustworthy and has the confidence to oversee our trading business during atypical working hours. This candidate will also have the opportunity to work closely with software engineers to enhance and further develop the firm's trading strategies. Our Traders not only become experts in trading technology and its interaction with the market, but they also play a crucial role in the evolution of market microstructure and the driving forces behind liquidity. This is an excellent opportunity for the right person to join a collaborative, fast-growing team, while learning trading at a leading market maker.
Qualifications
Required
  • Bachelor's degree in a quantitative field preferred. Strong graduates will also be considered.
  • High degree of personal responsibility, reliability, and attention to detail.
  • Strong understanding of probability, expected value, and basic statistics.
  • Experience with basic scripting (Python, SQL) for monitoring or data analysis.
  • Ability to work independently with minimal supervision during off-hours.
  • Excellent written communication skills for shift handoff notes and incident documentation.
  • Comfort operating across multiple software platforms simultaneously.
Preferred
  • Demonstrated familiarity with prediction markets - either professionally or as a serious participant
  • Prior experience trading on Kalshi, Polymarket, or similar platforms
  • Background in market making, statistical arbitrage, or event-driven trading
The Process
After applicants pass an initial resume screening, an online programming test will be sent via email. This test is from a service called HackerRank so please be on the lookout. After passing the programming test, we will contact you to arrange a phone screen with one of our recruiters.
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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