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Machine Learning Algo Trading Jobs (NOW HIRING)

Deeter Analytics Inc

Head of Algo Trading (AI)

$250K - $500K/yr

Head of Algo Trading (AI) About the role Deeter Analytics is a privately held investment research ... Deep facility with statistical and machine-learning modeling (forecasting, signal generation, risk ...

Itransition Group

NY · On-site

$100 - $125/hr

You will work at the intersection of quantitative research, machine learning, and real-world trading constraints, contributing to alpha generation and risk modeling. office remote Poland Requirements ...

Evox

$150 - $200/hr

... trade-offs técnicos en un nivel que permita a quienes toman decisiones entender el impacto y los ... Cada miembro del equipo de Evox aporta algo único a nuestra empresa. Queremos conocerte. Quiénes ...

New

Trading Interview

$150 - $200/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 ...

Susquehanna

Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$100 - $125/hr

We are expanding our team aggressively and looking ideally for individuals with trading domain ... The Machine Learning Researcher should be interested in Financial Markets, and will be directly ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$100 - $125/hr

We are expanding our team aggressively and looking ideally for individuals with trading domain ... The Machine Learning Researcher should be interested in Financial Markets, and will be directly ...

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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 8, 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.

Head of Algo Trading (AI)

Remote

Deeter Analytics Inc
See more jobs at Deeter Analytics Incexternal

$250K - $500K/yr

Full-time

Re-posted 19 days ago

Job description

Head of Algo Trading (AI)
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, we think we have some unique ways of seeing the market and we're now building a dedicated algorithmic effort to turn that edge into systematic, AI-driven alpha.
We are hiring a Head of Algo to lead that effort end to end. Reporting to and working directly with the founder and a world-class team, you will take our edge from thesis to a live, iterating mid-frequency (MFT) trading operation, owning the research, the models, the path to production, and the live P&L. This is a hands-on leadership role at the intersection of research and live trading. The emphasis is on AI-native alpha generation, disciplined experimentation, and getting strategies into production quickly, not on a latency-driven systems build.
What you'll own
  • Strategy, end to end. Hypothesis generation, signal research, statistical validation, backtesting under realistic assumptions (costs, turnover, capacity, slippage), live deployment, P&L attribution, and ongoing iteration.
  • The research-to-production pipeline. Signal generation, portfolio construction and sizing, and execution logic: the full path from an idea to a live position.
  • Two complementary approaches. Developing proprietary models, and leveraging existing frontier AI models, with the judgment to choose the right one for each problem.
  • Team and collaboration. Building a small, high-caliber team as the effort scales, and working closely with the discretionary, engineering, and data teams. This seat is not siloed.

Who you are
We hire for demonstrated ability and how you think, not for pedigree. You have a track record of building and shipping AI trading systems end to end, and strong quantitative and technical depth, but whether that came from a STEM degree, applied or research work, competitions, or a self-taught path does not matter to us. We welcome strong non-traditional backgrounds, and look for evidence that you are:
  • A strong first-principles thinker with real technical depth and sound judgment about what matters.
  • Rigorous about results, candid about uncertainty, and quick to revise your view in light of evidence.
  • Low ego and resilient: open to challenge, and comfortable being wrong in pursuit of the right answer.
  • Able to take a broad mandate, define the work that needs doing, and deliver.
  • Curious and genuinely energized by the problem.

How you work
  • AI-native. Fluent in modern AI, and able to use it to accelerate research, generate and test ideas, and support decisions across the team. You need not be the firm's deepest AI researcher, but you should be genuinely fluent and able to direct that work.
  • Empirical and iterative. You establish baselines, run efficient experiments, and compound learnings over time, while holding live-capital work to a high standard, guarding against overfitting and spurious signals.
  • Pragmatic. You select the right method for each problem and prioritize what moves P&L, rather than complexity for its own sake.
  • Clear and collaborative. You communicate concisely, give and receive feedback well, and work effectively across teams.

Core skills
  • Modeling, classical and frontier. Deep facility with statistical and machine-learning modeling (forecasting, signal generation, risk) and with getting real leverage out of frontier AI models, plus the judgment to know which fits a problem and where newer methods (deep learning, reinforcement learning) add edge versus just overfit.
  • Experiment design & data sense. You design fast, cheap experiments, establish baselines, and will do things that don't scale to find early signal, turning messy and alternative data (e.g., social or text) into something usable, and reading it directly rather than hiding behind a single statistic.
  • Signal-versus-noise judgment. You can separate real edge from a fragile result or a false positive (honest out-of-sample testing plus an instinct for what's overfit) before anything touches live capital.
  • Operational build-out. You can get an MFT book live end to end (data, execution, deployment), making sensible buy-vs-build calls.
  • Prototype to production. A strong, hands-on coder (Python and the modern data/ML stack) who takes an idea from prototype to production quickly, using AI to move faster.

What we offer
  • Direct partnership with the founder and full ownership of a new, high-impact effort.
  • A well-capitalized firm with a distinctive, research-led approach to markets.
  • Significant upside tied to performance.
  • Compensation: $250k-$500k base + upside exposure.

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