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Machine Learning Algo Trading Jobs (NOW HIRING)

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

Morgan-Stanley

NY · On-site

$200 - $250/hr

Use quantitative methods, including machine learning and statistical modeling, to build, improve ... live trading algorithms.Monitor algo performance and market conditions to help ensure strategies ...

AAA Global

Machine Learning Researcher

Miami, FL · On-site

Conduct research in Machine Learning to improve multiple aspects of the investment pipeline ... Produce trading and predictive signals using innovative ML algorithms * Apply the latest LLM-based ...

Citadel Securities

$4.5K - $5.8K/wk

... trading strategies to life every day. Specifically, the goal of this team is to leverage and tailor ... Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various ...

Citadel Securities

$4.5K - $5.8K/wk

... trading strategies to life every day. Specifically, the goal of this team is to leverage and tailor ... Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various ...

IMC

Machine Learning Researcher

Chicago, IL

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$200 - $250/hr

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

Deeter Analytics Inc

Machine Learning Engineer

Machine Learning Engineer About the role Deeter Analytics is a privately held investment research and trading firm managing its own capital across public markets. After years of discretionary success ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact ...

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Machine Learning Algo Trading information

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How much do machine learning algo trading jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning algo trading in the United States is $19.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.88 per hour, depending on experience, location, and employer.

What is machine learning algo trading?

Machine learning algo trading refers to the use of machine learning algorithms to automate and optimize trading decisions in financial markets. These systems analyze vast amounts of historical and real-time data to identify patterns, predict market movements, and execute trades without human intervention. The goal is to improve trading efficiency, minimize risks, and maximize returns by leveraging advanced data-driven models. Machine learning algo trading is widely used by hedge funds, investment banks, and quantitative traders to gain a competitive edge in the markets.

What are the key skills and qualifications needed to thrive as a machine learning algorithmic trading professional?

To thrive in Machine Learning Algorithmic Trading, you need strong quantitative skills, proficiency in programming (especially Python, R, or C++), and a solid understanding of financial markets, often supported by degrees in computer science, mathematics, or finance. Familiarity with machine learning frameworks (like TensorFlow or scikit-learn), trading platforms, and relevant certifications (such as CFA or FRM) is highly beneficial. Strong analytical thinking, problem-solving ability, and effective communication distinguish top performers in this field. These skills are crucial to developing robust trading models, adapting to rapidly changing markets, and collaborating within multidisciplinary financial teams.

What are some common challenges faced by professionals in machine learning algorithmic trading roles?

Professionals in machine learning algorithmic trading often encounter challenges such as ensuring data quality, managing model overfitting, and adapting to rapidly changing market conditions. They must work closely with data engineers, traders, and IT teams to integrate models into live trading systems while maintaining low latency and high reliability. Additionally, balancing innovation with regulatory compliance and robust risk management is crucial. Staying updated with the latest research and continuously refining strategies is also an ongoing part of the job.

What is the difference between Machine Learning Algo Trading vs Quantitative Analyst?

AspectMachine Learning Algo TradingQuantitative Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of machine learning and programmingDegree in Finance, Economics, Mathematics, or related fields; strong analytical skills
Work EnvironmentTechnology-driven, fast-paced trading firms, hedge funds, or proprietary trading desksFinancial institutions, investment banks, hedge funds, research firms
Employer & Industry UsageUsed to develop trading algorithms that adapt to market data using machine learning modelsUsed to analyze financial data, develop models, and inform trading strategies

While both roles involve quantitative skills, Machine Learning Algo Trading focuses on developing algorithms using machine learning techniques to automate trading decisions. Quantitative Analysts primarily analyze financial data and develop models to support trading strategies. The roles often overlap but differ in technical focus and application.

What are popular job titles related to Machine Learning Algo Trading jobs?

For Machine Learning Algo Trading jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Algo Trading job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $40,740 per year, or $19.6 per hour.

Machine Learning Researcher

Chicago, IL • On-site

IMC
See more jobs at IMCexternal

$250K - $300K/yr

Full-time

PTO

Re-posted 12 days ago

Key responsibilities

  • Design and deploy machine learning models to enhance trading performance across various asset classes

  • Research, test, and prototype new algorithmic ideas; deploy advanced ML techniques for market prediction, signal generation, and portfolio optimization

  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism. This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.
Your Core Responsibilities:
  • Design and deploy machine learning models to enhance trading performance across various asset classes
  • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
  • Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Your Skills and Experience:
  • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 2+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models
  • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
  • Strong understanding of theoretical foundations of state-of-the-art ML models
  • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$250,000-$300,000 USD
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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