Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Quantitative Trader to analyse market signals and execute innovative trading strategies.
- Company: Jane Street is a leading trading firm blending finance, technology, and research in a collaborative environment.
- Benefits: Enjoy hands-on training, a supportive team, and access to cutting-edge technology and resources.
- Why this job: This role offers rapid responsibility, a dynamic culture, and the chance to solve complex problems with data.
- Qualifications: We're looking for critical thinkers with a quantitative mindset; programming experience is a bonus but not essential.
- Other info: No prior finance experience needed; we value your problem-solving skills and eagerness to learn.
The predicted salary is between 43200 - 72000 £ per year.
About the PositionAt Jane Street, quantitative traders identify market signals, analyze 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. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what\’s possible. 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. 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.
About YouIf 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 mindA collaborative problem‐solver who enjoys working on a teamProactive, reliable, and courteous with strong organizational and communication skillsEager to ask questions, admit mistakes, and learn new thingsFluent 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 and .
If you\’re a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
#J-18808-Ljbffr
Quantitative Trader employer: Jane Street
Contact Detail:
Jane Street Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader
✨Tip Number 1
Familiarise yourself with quantitative trading concepts and strategies. Understanding the basics of market signals, statistical analysis, and algorithmic trading will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the finance and trading sectors. Attend industry events, webinars, or online forums to connect with traders and learn about their experiences at firms like Jane Street.
✨Tip Number 3
Brush up on your programming skills, especially in languages commonly used in trading such as Python or R. Even if you’re not required to know a specific language, having a solid foundation can set you apart from other candidates.
✨Tip Number 4
Prepare for problem-solving scenarios that may come up during interviews. Practice thinking critically and articulating your thought process clearly, as this is highly valued in collaborative environments like Jane Street.
We think you need these skills to ace Quantitative Trader
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Trader at Jane Street. Familiarise yourself with the skills required, such as critical thinking, collaboration, and quantitative analysis.
Tailor Your CV: Craft your CV to highlight relevant experiences and skills that align with the job description. Emphasise any quantitative projects, teamwork experiences, or problem-solving instances that showcase your fit for the role.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Discuss why you are interested in Jane Street specifically and how your background makes you a suitable candidate for their collaborative environment.
Prepare for Technical Questions: Be ready to discuss your quantitative skills and problem-solving approaches. Brush up on relevant statistical methods and programming concepts, as these may come up during the application process or interviews.
How to prepare for a job interview at Jane Street
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to discuss how you approach complex problems. Use examples from your past experiences to illustrate your critical thinking and analytical skills, as these are key traits that Jane Street values.
✨Emphasise Collaboration
Since Jane Street thrives on teamwork, highlight your experiences working in collaborative environments. Share specific instances where you successfully worked with others to achieve a common goal, demonstrating your ability to be a proactive team player.
✨Demonstrate Your Eagerness to Learn
Express your enthusiasm for learning new concepts and techniques, especially in quantitative analysis and trading. Mention any relevant courses or self-study you've undertaken, and be ready to discuss what you've learned and how it applies to the role.
✨Familiarise Yourself with Statistical Techniques
Given the emphasis on various statistical and machine learning techniques at Jane Street, brush up on these topics before your interview. Be ready to discuss different models and their applications, showing that you can think critically about which methods to apply in different scenarios.
