Eintrag vom 21.09.2026
Angebotsnr. 120714
Stellenbeschreibung
About the position
At Jane Street, quantitative traders identify market signals, analyse and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more.
Our trading desks are central to our collaborative and cooperative office environment. You can expect to work side by side with experienced traders who are committed to teaching, guiding, and supporting our newest hires. Through hands-on, interactive training, you’ll acquire significant trading responsibilities within weeks to months of being on the desk. In parallel, you will participate in our robust year-long firmwide educational curriculum.
At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to 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. 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.
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. We’re looking for smart people who enjoy solving interesting problems, and we’re more interested in how you think and learn than what you currently know. You should be:
- A critical thinker with a strong quantitative mind
- A collaborative problem-solver who enjoys working on a team
- Proactive, reliable, and courteous with strong organisational and communication skills
- Eager to ask questions, admit mistakes, and learn new things
- Fluent in English
A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required.
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
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- 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
- Wirtschafts- und Rechtswissenschaften
Wirtschaftsinformatik
Technische Volkswirtschaftslehre
Wirtschaftsingenieurwesen
Sonstige Studienbereiche
Digital Economics
Fincinal Engineering
Production and Operations Management
- Gesuchter Karrierestatus
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- Absolvent:in, Berufseinsteiger:in
So sieht der Arbeitsplatz aus
- Unternehmensbereich
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- Finanzen und Rechnungswesen
- Arbeitszeitmodell
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Vollzeit
- Sprache am Arbeitsplatz
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Englisch
Unternehmensinformationen
- Art des Unternehmens
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Konzern