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Skills: Python, SQL, Pandas, Polars, Data Engineering
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Full-time
postgraduate degree
Posted 12d ago
~40 hrs/week
Responsibilities
You will build models, strategies, and systems to price and trade financial instruments while collaborating closely with traders and engineers. Your role involves experiment design, dataset generation, and tuning models to ensure effective trading performance.
Requirements
You should be a strong programmer proficient in Python with a curious mind and the ability to apply logical and mathematical thinking to complex problems. While experience in data science or machine learning is preferred, the role is open to candidates with a strong aptitude for learning and research.
Full job description
About the Position
We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.
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. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. 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 don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.
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. You should be:
Able to apply logical and mathematical thinking to all kinds of problems
Intellectually curious; eager to ask questions, admit mistakes, and learn new things
A strong programmer who’s comfortable with Python
An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
Fluent in English
Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn, than what you currently know. PhD or other research experience is a plus.
Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test.
More than twenty years after our founding, it still feels like we’re just getting started.
Jane Street does not offer any services to individual investors: https://www.janestreet.com/fraud-and-impersonation-warnings/
Offices: 250 Vesey Street, New York, NY 10281, US · 2 & A Half, Devonshire Square, London, EC2M 4UJ , GB · 10th Floor, Chater House, 8 Connaught Rd., Hong Kong, Central, HK · WTC Tower Ten - L19, Strawinskylaan 1657, Amsterdam, 1077 XX , NL · 10 Collyer Quay, 4/F, Ocean Financial Centre, Singapore, 049315, SG
Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test.
More than twenty years after our founding, it still feels like we’re just getting started.
Jane Street does not offer any services to individual investors: https://www.janestreet.com/fraud-and-impersonation-warnings/
Offices: 250 Vesey Street, New York, NY 10281, US · 2 & A Half, Devonshire Square, London, EC2M 4UJ , GB · 10th Floor, Chater House, 8 Connaught Rd., Hong Kong, Central, HK · WTC Tower Ten - L19, Strawinskylaan 1657, Amsterdam, 1077 XX , NL · 10 Collyer Quay, 4/F, Ocean Financial Centre, Singapore, 049315, SG