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Hedge Fund Machine Learning Jobs (NOW HIRING)

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

Our client is building an equity trading engine powered by machine learning. They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ...

The Voleon Group

Fund Accountant

Berkeley, CA · On-site +1

$90K - $110K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... of experience in hedge fund, public accounting for asset management, or fund administrator

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Hedge Fund Machine Learning information

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

As of Aug 7, 2026, the average yearly pay for hedge fund machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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 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 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.

More about Hedge Fund Machine Learning jobs
What cities are hiring for Hedge Fund Machine Learning jobs? Cities with the most Hedge Fund Machine Learning job openings:
What states have the most Hedge Fund Machine Learning jobs? States with the most job openings for Hedge Fund Machine Learning jobs include:
What job categories do people searching Hedge Fund Machine Learning jobs look for? The top searched job categories for Hedge Fund Machine Learning jobs are:
Hedge Fund Machine Learning jobs near you
Infographic showing various Hedge Fund Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Hedge Fund Quant Analyst - Umbrex

Umbrex

Manhattan, NY • On-site

$100 - $125/hr

Full-time

Posted 9 days ago

Job description

Our client is building an equity trading engine powered by machine learning. They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and programming to help design and implement this system.

Responsibilities:

  1. Design, test, and optimize machine-learning-driven trading models.
  2. Apply advanced techniques such as non-linear models, deep neural networks, and tree-based models to equity markets.
  3. Conduct risk analysis and evaluate market risk factors to strengthen portfolio resilience.
  4. Develop and refine alpha capture algorithms to generate sustainable returns.
  5. Collaborate on the architecture and scaling of the trading engine.
  6. Leverage Python programming skills, including experience with LLM-assisted coding, to build and maintain efficient, production-ready code.
  7. Monitor performance, troubleshoot issues, and continuously improve strategies.

Qualifications:

  1. 5-7 years of experience as a hedge fund quant analyst or in a similar trading/quant role (other relevant backgrounds may also be considered).
  2. Strong knowledge of equity trading strategies and financial markets.
  3. Hands-on experience with non-linear models, neural networks, and ensemble/tree-based methods.
  4. Proven expertise in risk analysis and market risk factor modeling.
  5. Deep understanding of alpha capture and algorithmic trading strategies.
  6. Proficiency in Python, with exposure to modern coding tools and frameworks (experience with LLM-assisted coding is a plus).
  7. Independent, results-driven professional able to thrive in a startup-like environment.

Start: Immediately

Duration: 6 month with likely extension, then possibility of joining a fund

Time commitment: 5 days per week

Location: 3-4 days per week in-person in Greater NYC

Rate: $100-$125 per hour

Project ID#: 7963

*This is a 1099 contract role that does not offer health benefits

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About Umbrex

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2013

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