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14.02.2025

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Jane Street Europe
2, Devonshire Square
EC2M 4UJ London

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London

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Cristina Haston
020 3787 3200

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We are looking for quantitative researchers to help us build models, strategies, and systems that price and trade financial instruments.

Quantitative Researcher

13.11.2024
Jane Street Europe - London
Mathematik

Aufgaben

We are looking for quantitative researchers to help us build models, strategies, and systems that price and trade financial instruments. Our advanced proprietary trading models are the backbone of our operation, enabling us to identify profitable trading opportunities across hundreds of thousands of financial products daily, in over 200 trading venues globally.

Our success is rooted in a deep understanding of the markets, a collaborative spirit between researchers and traders, and a desire to continuously challenge the status quo. At Jane Street, you will work alongside a tight-knit team, utilising petabytes of data, our computing cluster with hundreds of thousands of cores, and our growing GPU cluster containing thousands of A/H100s to develop trading strategies in adversarial markets that evolve every day. Signals are small; noise is high.

We don’t believe in “one-size-fits-all” modelling 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. Your ability to venture into new and uncharted territories of data analysis, while maintaining a clear focus on the ultimate goal, will be key.

Qualifikation

We don’t expect you to have a background in finance or any other specific field — we’re looking for smart, ambitious people who enjoy solving challenging problems. 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. 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
*PhD or other research experience a plus
*Fluent in English

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