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30.01.2025

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Jane Street Europe
2, Devonshire Square
EC2M 4UJ London

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Cristina Haston
020 3787 3200

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Jane Street is seeking curious students to join us for our Quantitative Resarcher Internship (June - September) in our London office.

Quantitative Researcher - 2025 Summer Internship (June- September)

30.10.2024

Jane Street Europe - London
Mathematik, Mathematik, Physik, Wirtschaftsmathematik

Aufgaben

As a Quantitative Research intern, you’ll work side by side with full-timers to learn how we identify market signals, analyse large datasets, build and test models, and create new trading strategies.

At Jane Street, we blur the lines between trading and research, fostering a fluid environment where teams work in a tight loop to solve complex problems. 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.

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, in over 200 trading venues globally. We utilise 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.

During the programme you’ll focus on two projects, mentored closely by the key stakeholders who’ve worked on them. You may conduct a study of some new or existing dataset, build new tools that support the firm’s research, or consider big-picture questions that we’re still trying to figure out. The problems we work on rarely have clean, definitive answers — and they often require insights from colleagues across the firm with different areas of expertise.

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
Research experience a plus
Fluent in English

Benefits

Weitere Angaben

Sprachkenntnisse:

Beginn:

Dauer:

Vergütung:

Anzahl der Plätze: 20

Angaben zum Unternehmen

Unternehmensbeschreibung

Unternehmensgröße
1001-5000 Mitarbeiter

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