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Machine Learning Algo Trading Jobs (NOW HIRING)

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This ... role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This ... role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Trading Interview

$200 - $250/hr

As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of ... Your work will directly influence our trading strategies and decision-making processes. This is a ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

$250/hr

New York, United States 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.

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Since the team works closely with trading floor personnel to assist with portfolio management ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Since the team works closely with trading floor personnel to assist with portfolio management ...

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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.

C++/ Python Developer - Algo & Analytics

Great Neck, NY • On-site

FlexTrade
501 - 1,000 employees
Learn more about FlexTradeexternal

$100 - $125/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

C++/Python Developer – Algo Trading

Join a dynamic Algorithm & Analytics development and support environment interfacing directly with clients. FlexTrade is looking for Software Developers to be a part of a rapidly evolving technology group supplying top quality solutions to our growing top tier Wall Street client base.

Our wide range of trading products, including Equities, Options, Futures, FX and more, offers numerous technical opportunities. Candidates must have a passion for learning and designing new technologies and methodologies quickly and employing them into deliverable solutions. Our Developers contribute to the full software cycle of design, development, and support of new and existing software components.

Core Responsibilities

The candidate will be responsible to implement generic and custom trading algorithms & analytics for Multi Leg spreads, MxN baskets, Market Making Quoter, VWAP, Volume Participation, proprietary algorithms for various asset classes.

  • Design and Development of Trading Strategies/Algorithms and Analytics
    • Interact with clients and in-house subject matter experts for the specification of Trading algorithms.
    • Come up with designs that are not only high performance and latency sensitive but also generic, scalable, and customizable as possible.
    • Implement the algorithms over the FlexStrategy Server framework.
    • Suggest improvements in the existing strategy APIs to make strategies robust.
    • Enhance and support back‑testing framework.
    • Value teamwork! At the outset you will collaborate and work closely with SMEs and seasoned team members to ensure quick and easy integration of new technology components.
    • Create documentation for new and existing components.
  • Product and Component Testing
    • Perform developer testing for all software modifications.
    • Work with QA to expand regression test plans for software modifications.
  • Client Support
    • Work closely with FlexTrade clients to keep them informed at all stages of the development life cycle, maintaining best practices of client service.
    • Support client upgrades and new installations as well as troubleshooting issues.
Required Skills & Experience
  • Degree in Computer Science or equivalent industry experience acceptable.
  • Excellent C++ / Python development skills are required and willingness to learn and switch to new technologies and languages as needed.
  • Exceptional problem‑solving skills.
  • Experience in a UNIX environment.
  • Knowledge or experience of trading algorithms like Pairs, Synthetic Spreads, Basket balancer or Market Making would be a big plus.
  • Awareness of Big Data and/or Time Series databases will be useful.
  • At least three years’ work experience in software development.
  • Excellent communication skills.

FlexTrade Systems, Inc. is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.

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