Jane Street

Quantitative Researcher

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Stelle frei: Ab sofort
Berufseinstieg/Anstellung
Festanstellung
International (ohne D)
Eintrag vom 21.09.2026
Angebotsnr. 120715

Stellenbeschreibung

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 tens of 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” 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. 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.

If you’d like to learn more, you can read about our interview process and meet some of the team.

Das solltest du mitbringen

Gewünschtes Studium
  • Ingenieurwissenschaften
    • Architektur
    Bauingenieurwesen
    Bioingenieurwesen
    Chemieingenieurwesen & Verfahrenstechnik
    Elektrotechnik & Informationstechnik
    Geodäsie & Geoinformatik
    Informatik
    Maschinenbau
    Materialwissenschaft & Werkstofftechnik
    Mechatronik & Informationstechnik
    Optics & Photonics
    Sonstige Studienbereiche
    Funktionaler und konstruktiver Ingenieurbau
    Mobilität und Infrastruktur
    Regionalwissenschaft/Raumplanung
    Water Science Engineering
    Mechanical Engineering
    Energy Engineering and Management
    Mobility Systems Engineering and Management
    Remote Sensing and Geoinformatics
    Management of Product Development
    Information System Engineering and Management
    Technologie und Management im Baubetrieb
    Biomedical Engineering
    Computer Science
    Electrical Engineering and Information Technology
    Mechatronics and Information Technology
    Medizintechnik
    Photon Science and Technology
  • Naturwissenschaften und Technik
    • Angewandte Geowissenschaften
    Biologie
    Chemie
    Chemische Biologie
    Geoökologie
    Geophysik
    Lebensmittelchemie
    Mathematik
    Meteorologie
    Physik
    Sonstige Studienbereiche
    Technomathematik
    Meterologie und Klimaphysik
    Angewandte Umweltinformatik und Erbeobachtung
    Computational and Data Sience
    Geophysics
    Meteorology and Climate Physics
    Physics
    Wirtschaftsmathematik
  • Sonstiges z.B. Lehramt
    • Sonstige Studienbereiche
    Deutsch
    Philosophie / Ethik
    Sport
    Biologie
    Chemie
    Geographie
    Informatik
    Ingenieurpädagogik
    Mathematik
    Naturwissenschaften und Technik
    Physik
Gesuchter Karrierestatus
  • Absolvent:in, Berufseinsteiger:in

So sieht der Arbeitsplatz aus

Unternehmensbereich
  • Finanzen und Rechnungswesen
Arbeitszeitmodell
Vollzeit
Sprache am Arbeitsplatz
Englisch

Unternehmensinformationen

Art des Unternehmens
Konzern

Kontakt

Frau Ariana Kamboj
Jane Street
2½, Devonshire Square
EC2M 4UJ London
Großbritannien
Tel: +44 020 3787 3200
E-Mail: Melden Sie sich bitte an,
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Unternehmensanschrift

Jane Street
2½, Devonshire Square
EC2M 4UJ London
Großbritannien
Telefon: +44 020 3787 3200
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