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Hedge Fund Machine Learning Jobs in New York (NOW HIRING)

Quant Blueprint LLC

C++ Software Engineer

Manhattan, NY · On-site

$100 - $200/hr

Verition Fund Management LLC ( - Äù) is a multi-strategy, multi-manager hedge fund founded in ... Implement machine learning and other advanced techniques to enhance predictive accuracy ...

New

Man Group

Principal Quant

New York, NY · On-site

... hedge fund * 2+ years of alpha research experience working with L3 tick data * 2+ years of high ... Experience with Machine Learning techniques is a plus * PhD or exceptional Masters / Bachelors ...

Algoriz, Inc.

Software Engineer

Manhattan, NY · On-site

$85 - $120/hr

... Hedge fund. The team has deep domain expertise in quantitative trading, machine learning, and capital markets with a successful track record of building technology within the financial services ...

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Hedge Fund Machine Learning information

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 New York?

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

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

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

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

Cities in New York 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 New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Quant Researcher, ML Forecasting (MFT)

Fionics

Manhattan, NY • On-site

Full-time

Re-posted 22 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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