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For Companies At a Glance
- Tasks: Identify market signals, analyse strategies, and build algorithmic trading systems.
- Company: Jane Street, a tech-driven trading firm with a collaborative culture.
- Benefits: Hands-on training, educational curriculum, and a supportive team environment.
- Why this job: Dive into finance with cutting-edge technology and make an impact in trading.
- Qualifications: Strong quantitative skills, critical thinking, and a collaborative mindset.
- Other info: Dynamic role with opportunities for growth and learning in a tech-focused environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About the Position
At 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 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 organizational 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.
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
Network like a pro! Reach out to current or former employees on LinkedIn, and don’t be shy about asking for a chat. They can give you insider tips on the interview process and what Jane Street really values.
✨Tip Number 2
Brush up on your quantitative skills! Dive into some statistical analyses or algorithmic trading concepts. Being able to discuss these topics confidently will show that you're serious about the role and ready to hit the ground running.
✨Tip Number 3
Prepare for a collaborative interview! Expect to solve problems with your interviewers. Practise explaining your thought process clearly, as they want to see how you approach challenges and work with others.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Jane Street. Don’t miss out!
We think you need these skills to ace Quantitative Trader
Some tips for your application 🫡
Show Your Quantitative Skills: Make sure to highlight your quantitative skills in your application. We want to see how you think and solve problems, so include examples of any relevant projects or experiences that showcase your analytical abilities.
Be Collaborative: Since we value teamwork, mention any experiences where you've worked closely with others to tackle challenges. This could be group projects, team sports, or any collaborative efforts that demonstrate your ability to work well with a team.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon. We appreciate a well-structured application that gets straight to the point while still showcasing your personality.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and eager to join our team!
How to prepare for a job interview at Jane Street
✨Understand the Role
Before your interview, make sure you thoroughly understand what a Quantitative Trader does. Familiarise yourself with market signals, statistical analyses, and algorithmic trading systems. This will help you speak confidently about how your skills align with the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your critical thinking and collaborative problem-solving abilities, which are key for this position.
✨Brush Up on Technical Knowledge
While you don’t need to be an expert in programming, having a basic understanding of statistical methods and machine learning techniques can set you apart. Be ready to discuss any relevant coursework or projects that showcase your quantitative skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s trading strategies, team dynamics, or educational curriculum. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
