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Hedge Fund Machine Learning Jobs in Illinois (NOW HIRING)

Hedge Fund

AI Engineer

Chicago, IL · On-site

$130 - $170/hr

This role focuses on the implementation of cutting‑edge Machine Learning and AI methods directly ... firm, Hedge Fund, or Proprietary Trading desk. Technical Qualifications * Programming:

New

Magnetar

Senior Associate, Fund Finance

Evanston, IL · On-site

... hedge fund strategies and financial products employed therein. He or she will be expected to become familiar with the various investment strategies and financial products through on-the-job learning ...

1872 Consulting

Data Scientist

Chicago, IL

You will, of course, also be responsible for performing advanced statistical/machine learning ... Hedge Funds, Private Equity, and/or Real Estate - the more of these you have, the better, but we ...

1872 Consulting

Data Scientist

Chicago, IL

You will, of course, also be responsible for performing advanced statistical/machine learning ... Hedge Funds, Private Equity, and/or Real Estate - the more of these you have, the better, but we ...

K1X

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces ... This role sits at the intersection of Product Engineering, Data, and Machine Learning. You willbe ...

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces ... This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ...

Optiver

Senior Equity Analyst

Chicago, IL · On-site

$90K - $120K/yr

... hedge fund * Proven track record of owning sector coverage and generating differentiated ... Passionate about the markets, adaptable, and driven by impact and continuous learning * Comfortable ...

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All JobsHedge Fund Machine Learning JobsHedge Fund Machine Learning Jobs in Illinois

Hedge Fund Machine Learning information

See Illinois salary details

$24.7K

$41.3K

$85.3K

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

As of Aug 21, 2026, the average yearly pay for hedge fund machine learning in Illinois is $41,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 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 Illinois?

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

What job categories do people searching Hedge Fund Machine Learning jobs in Illinois look for?

The top searched job categories for Hedge Fund Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Hedge Fund Machine Learning jobs?

Cities in Illinois with the most Hedge Fund Machine Learning job openings:

Hedge Fund Machine Learning jobs near you
Infographic showing various Hedge Fund Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,265 per year, or $19.8 per hour.

AI Engineer

Hedge Fund

Chicago, IL • On-site

$130 - $170/hr

Other

Posted 3 days ago

New

Job description

Asset Manager is seeking an elite AI Engineer with a strong foundation in software engineering and AI to join our Quantitative Research team. This role focuses on the implementation of cutting‑edge Machine Learning and AI methods directly into investment workflows. Partnering with Analysts, Portfolio Managers, Traders, and senior risk takers across the firm, you will translate their workflows into a 0‑to‑1 build of an AI platform to enhance and scale alpha generation and risk mitigation strategies. As a leader and architect of AI solutions, you will act as the critical bridge between frontier AI capabilities and commercial, high‑conviction investment decision‑making.

Responsibilities
  • AI Platform Development: Architect and build a proprietary AI platform from the ground up to support quantamental research, enabling scalable data integration, model development, and signal generation across investment teams.
  • AI & ML Tooling: Develop machine learning techniques and AI tools to enhance portfolio construction and risk models to identify and react to emerging risks and changes in correlations.
  • Alpha Generation: Research, back‑test, and deploy systematic signals leveraging both traditional financial engineering techniques and advanced machine learning (e.g., deep learning, LLMs for sentiment analysis, alternative data extraction).
  • Stakeholder Management: Serve as the primary liaison between the AI and Quantitative Research team and investment teams. Embed directly with Analysts and PMs to identify solutions that increase productivity and enhance investment performance.
Core Competencies
  • AI Architecture: Familiarity with emerging agentic AI patterns, including multi‑agent workflows and RAG systems, with the ability to translate these into scalable enterprise solutions.
  • Financial Engineering: Experience with building solutions for tools that leverage stochastic calculus, derivatives pricing, time‑series econometrics, and portfolio theory.
  • Communication: Demonstrated ability to speak with analysts, PMs and traders, and translate business needs to algorithmic solutions.
  • Software Development: Ability to write clean, scalable, and highly optimized code and leverage agents for productivity enhancement.
Education & Industry Experience
  • Required Education
    • PhD (strongly preferred) or MSc in Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science from a top‑tier institution.
  • Experience
    • 5 to 10 years of direct experience in a Quantitative Research or Analyst capacity within a top‑tier Asset Management firm, Hedge Fund, or Proprietary Trading desk.
Technical Qualifications
  • Programming: Expert‑level Python (NumPy, Pandas, SciPy). Proficiency in C++ or Java for performance‑critical components is a plus.
  • Machine Learning & Modern AI Systems: Deep practical experience with PyTorch, TensorFlow, and Scikit‑Learn, along with hands‑on experience in Retrieval‑Augmented Generation, vector databases, and agent‑based frameworks (e.g., LangChain, Hugging Face Transformers) for building context‑aware LLM applications.
  • Data & Systems: Proficiency in SQL and handling large‑scale unstructured/alternative datasets. Experience with cloud infrastructure (Azure) and distributed computing (Spark, Dask).
  • Software Engineering: Strict adherence to CI/CD, Git version control, Docker containerization, and Agile methodologies.
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