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For Companies At a Glance
- Tasks: Collaborate with experts to analyse data, build models, and create trading strategies.
- Company: Join Jane Street, a leading firm where research meets technology and trading.
- Benefits: Gain unparalleled educational experience, mentorship, and exposure to cutting-edge tools.
- Why this job: Dive into the world of finance and data science while making a real impact.
- Qualifications: Strong programming skills in Python and a passion for learning and collaboration.
- Other info: Dynamic environment with opportunities for growth and exploration in finance.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Overview
Our goals are to give you a real sense of what it’s like to work as a Quantitative Researcher at Jane Street, and a truly unparalleled educational experience. You’ll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyse large datasets, build and test models, and create new trading strategies.
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” 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.
You’ll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You’ll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionising a signal.
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. 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
Most interns are current undergraduate or graduate students, but we also welcome applicants who have already graduated and are considering a new career in finance. Research experience is a plus.
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Quantitative Researcher employer: Jane Street
Contact Detail:
Jane Street Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to current or former Quantitative Researchers at Jane Street on LinkedIn. Ask them about their experiences and insights. This not only shows your interest but can also lead to valuable referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and statistical questions that are relevant to quantitative research. We want to see how you think, so be ready to explain your thought process!
✨Tip Number 3
Show off your projects! If you've worked on any data science or machine learning projects, make sure to discuss them during interviews. We love to see how you apply your skills in real-world scenarios, especially if they relate to finance.
✨Tip Number 4
Don’t forget to 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. Let’s get you started on this exciting journey!
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your intellectual curiosity shine through! Share examples of how you've asked questions or tackled challenges in your previous experiences. We love candidates who are eager to learn and explore new ideas.
Be Clear and Precise: As a Quantitative Researcher, clear communication is key. Make sure your application is well-structured and easy to read. Use concise language to convey your thoughts, and don’t forget to highlight your programming skills, especially in Python!
Tailor Your Application: Don’t just send a generic application! Tailor your written materials to reflect the specific role and our unique approach at Jane Street. Mention any relevant experience with data science or machine learning that aligns with our work.
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 it gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Jane Street
✨Know Your Data Science Basics
Brush up on your data science and machine learning fundamentals. Be ready to discuss how you’ve applied logical and mathematical thinking in past projects. This will show that you can think critically about the challenges faced in quantitative research.
✨Show Your Curiosity
Demonstrate your intellectual curiosity by asking insightful questions during the interview. This not only shows your eagerness to learn but also reflects your understanding of the complexities involved in financial datasets and trading strategies.
✨Be Prepared to Code
Since strong programming skills in Python are essential, be prepared for a coding challenge or technical questions. Practise coding problems related to data manipulation and analysis, as this will help you showcase your programming prowess effectively.
✨Communicate Clearly
As collaboration is key at Jane Street, focus on being a precise communicator. Practice explaining complex concepts in simple terms, and be ready to discuss how you’ve worked with diverse teams in the past. This will highlight your ability to collaborate across different areas of expertise.
