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Hedge Fund Machine Learning Jobs in Chicago, IL (NOW HIRING)

Old Mission

Systematic Equity Options Trader

Chicago, IL · On-site

$170K - $250K/yr

Manage portfolio risk through systematic hedging and position management * Analyze market ... Experience with statistical analysis, machine learning, and quantitative modeling techniques * Must ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

We design, develop, and deploy technologies that change our world, fund start-ups across industries ... to power trading with machine learning and other algorithms on a global scale. This is an ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

We design, develop, and deploy technologies that change our world, fund start-ups across industries ... to power trading with machine learning and other algorithms on a global scale. This is an ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

We design, develop, and deploy technologies that change our world, fund start-ups across industries ... to power trading with machine learning and other algorithms on a global scale. This is an ...

P2P

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$225 - $275/hr

We design, develop, and deploy technologies that change our world, fund start-ups across industries ... to power trading with machine learning and other algorithms on a global scale. This is an ...

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All JobsHedge Fund Machine Learning JobsHedge Fund Machine Learning Jobs in Chicago, IL

Hedge Fund Machine Learning information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do hedge fund machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for hedge fund machine learning in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is a hedge fund machine learning?

A Hedge Fund Machine Learning job involves applying data science, artificial intelligence, and quantitative modeling techniques to improve trading strategies, risk management, and portfolio optimization. Professionals in this role develop and implement machine learning algorithms to analyze financial data, identify patterns, and generate predictive models for market behavior. They work closely with portfolio managers, traders, and quantitative researchers to enhance decision-making and generate alpha. Strong programming skills, expertise in statistics, and knowledge of financial markets are essential for success in this field.

What are the key skills and qualifications needed to thrive in hedge fund machine learning?

To thrive in a Hedge Fund Machine Learning role, you need a strong background in quantitative analysis, statistics, programming (often in Python or R), and machine learning, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with data analysis libraries (like pandas, NumPy), machine learning frameworks (such as TensorFlow or scikit-learn), and experience with financial data sets or platforms is highly valuable. Effective communication, collaboration, and a strong problem-solving mindset are crucial soft skills in this role. These competencies are essential to designing and implementing robust trading models, navigating complex data, and working efficiently in a fast-paced, team-driven environment.

What are the typical projects or challenges a hedge fund machine learning professional may encounter?

As a Hedge Fund Machine Learning professional, you may work on projects involving the development of predictive models for market movements, portfolio optimization, anomaly detection, or automated trading strategies. Common challenges include sourcing high-quality financial data, managing noisy or incomplete information, and ensuring that models remain robust in dynamic market conditions. Additionally, you will often collaborate with portfolio managers, data engineers, and other quant researchers to translate model insights into actionable investment strategies. Overcoming these challenges requires both technical expertise and adaptability, offering significant opportunities for career growth and impact within the fund.

What are popular job titles related to Hedge Fund Machine Learning jobs in Chicago, IL?

For Hedge Fund Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Hedge Fund Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Hedge Fund Machine Learning jobs in Chicago, IL are:

Hedge Fund Machine Learning jobs near you
Infographic showing various Hedge Fund Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Systematic Equity Options Trader

Old Mission

Chicago, IL • On-site

$170K - $250K/yr

Full-time

Re-posted 18 days ago

Job description

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement.
Old Mission is seeking a Systematic Equity Options Trader to join our growing options trading desk in our Chicago HQ. This Equity Options trader will be responsible for developing, implementing, and managing systematic trading strategies across equity options markets. This Equity Options Trader will work closely with our quantitative research and technology teams to develop systematic approaches that capitalize on market inefficiencies while effectively managing risk.
Responsibilities
  • Design and implement systematic trading strategies for equity options, including single-name options, index options, and volatility products
  • Build and maintain quantitative models for options pricing, volatility forecasting, and risk management
  • Monitor and optimize existing strategies, identifying opportunities for enhancement and improvement
  • Collaborate with quantitative researchers to translate research insights into production trading strategies
  • Manage portfolio risk through systematic hedging and position management
  • Analyze market microstructure and develop strategies to optimize execution quality
  • Work with technology teams to build robust, scalable trading infrastructure
  • Conduct post-trade analysis to evaluate strategy performance and identify areas for improvement

Required Qualifications
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or related quantitative field; advanced degree preferred
  • 4+ years of experience in systematic options trading, quantitative trading, or quantitative research
  • Strong understanding of options pricing theory, Greeks, and volatility dynamics
  • Proficiency in Python or C++ is a prerequisite
  • Experience with statistical analysis, machine learning, and quantitative modeling techniques
  • Must have a strong understanding of the market microstructure and execution algorithms
  • Excellent analytical and problem-solving skills
  • Ability to work effectively in a fast-paced, collaborative environment

Preferred Qualifications
  • Experience trading equity options or volatility products systematically
  • Knowledge of order book dynamics and high-frequency trading concepts
  • Familiarity with real-time data processing and low-latency systems
  • Track record of developing profitable quantitative trading strategies

Base Salary Range
$170,000 - $250,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter.
Old Mission is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission, and no fee will be paid in the event the candidate is hired by Old Mission.

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