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Hedge Fund Machine Learning Jobs (NOW HIRING)

IQ-EQ

Manager - Hedge Fund Accounting

Boston, MA · Hybrid

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... Our learning and development programmes and systems (including PowerU and MyCampus) enable us to ...

IQ-EQ

Manager - Hedge Fund Accounting

Boston, MA · Hybrid

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... Our learning and development programmes and systems (including PowerU and MyCampus) enable us to ...

IQ-EQ

Manager - Hedge Fund Accounting

Iselin, NJ · On-site

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... Our learning and development programmes and systems (including PowerU and MyCampus) enable us to ...

IQ-EQ

Manager - Hedge Fund Accounting

Frisco, TX · On-site

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... Our learning and development programmes and systems (including PowerU and MyCampus) enable us to ...

IQ-EQ

Manager - Hedge Fund Accounting

Boston, MA · Hybrid

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... Our learning and development programmes and systems (including PowerU and MyCampus) enable us to ...

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All JobsHedge Fund Machine Learning Jobs

Hedge Fund Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Jul 17, 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 engineer makes $500,000 a year?

In the context of hedge fund machine learning roles, senior quantitative engineers or machine learning engineers with extensive experience, advanced skills in programming, data analysis, and financial modeling can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and profit-sharing, especially at top-tier firms or in senior positions.

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.

Which 5 jobs will survive AI?

In the context of hedge fund machine learning, roles such as quantitative analysts, data scientists, machine learning engineers, risk managers, and compliance specialists are likely to persist as they require complex judgment, domain expertise, and interpretative skills that are difficult for AI to fully replicate. These jobs involve designing models, interpreting results, and making strategic decisions that complement AI tools. Continuous learning and proficiency with programming languages like Python and tools such as TensorFlow enhance job security in this field.

Do hedge funds use machine learning?

Hedge fund machine learning roles involve applying algorithms and statistical models to analyze financial data and inform trading strategies. Professionals in this field often use programming languages like Python or R and have strong quantitative skills. Machine learning is increasingly integrated into hedge fund operations to improve predictive accuracy and automate decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying role in artificial intelligence, such as a senior machine learning engineer or AI research director, often found in finance or technology firms. These positions usually require advanced skills in machine learning, data analysis, and programming, along with significant experience and sometimes advanced degrees. In the context of hedge funds, such roles involve developing algorithms and models to inform investment strategies.

What are the key skills and qualifications needed to thrive in the Hedge Fund Machine Learning position, and why are they important?

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 job?

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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Quant Researcher, ML Forecasting (MFT)

Fionics

Manhattan, NY

Full-time

Re-posted 4 days ago

Job description

Company: Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.
Overview: ML Quant Research opportunity with a collaborative PhD heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop).
Key Responsibilities:
  • Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer hold MFT equities strategies.
  • Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategies
Qualifications:
  • 3-7 years of experience in a Quant Research
  • Experience at a top buy side firm, or equivalent experience
  • Practical use of ML models in production.
  • PhD level Math/Statistics skills
  • Collaborative and patient nature
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