At a Glance
- Tasks: Join our team to build cutting-edge ML models for trading strategies.
- Company: Dynamic finance and tech company with a collaborative environment.
- Benefits: Competitive salary, growth opportunities, and a chance to work with top-tier technology.
- Other info: Work alongside traders and engineers in a fast-paced, supportive atmosphere.
- Why this job: Make an impact in finance using innovative machine learning techniques.
- Qualifications: Experience in ML, coding skills in Python, and a passion for problem-solving.
The predicted salary is between 54000 - 66000 £ per year.
We’re looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you’ll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment that force us to search for novel techniques.
At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street.
You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.
About You
If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:
- Practical experience working on empirical ML problems
- The ability to apply logical and mathematical thinking to all kinds of problems
- Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
- Fluency with a versatile set of models and tricks
- The hands‑on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
- An eagerness to ask questions, admit mistakes and learn new things
We were founded by a small group of traders and technologists in a tiny New York office. Today, we have more than 2,000 employees across five global offices.
Machine Learning Researcher employer: Trading Interview
Tower Research Capital is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and rigorous experimentation are at the forefront. Located in a vibrant financial hub, employees benefit from cutting-edge technology and resources, alongside ample opportunities for professional growth and development within the fast-paced world of quantitative trading. Join us to be part of a team that values your contributions and rewards your success in a meaningful way.
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We think this is how you could land Machine Learning Researcher
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We think you need these skills to ace Machine Learning Researcher
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