At a Glance
- Tasks: Build models and strategies for pricing and trading financial instruments using advanced techniques.
- Company: Join Jane Street, a leading firm where researchers and traders collaborate closely.
- Benefits: Enjoy competitive pay, a dynamic work environment, and opportunities for professional growth.
- Other info: Ideal for curious minds eager to learn and innovate in a collaborative setting.
- Why this job: Dive into data-driven challenges and make impactful contributions in finance.
- Qualifications: Strong programming skills in Python and a passion for problem-solving are essential.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for Quantitative Researchers to help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.
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 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 machine learning 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
Most candidates will have experience with data science or machine learning, though your approach to problem-solving and capacity to learn will weigh just as heavily as your existing expertise. Having a PhD or other research experience is a plus.
Quantitative Researcher employer: Jane Street
At Jane Street, we pride ourselves on fostering a collaborative and innovative work environment where Quantitative Researchers can thrive. With access to cutting-edge technology and a wealth of data, our team members are encouraged to explore diverse modelling techniques and contribute to impactful trading strategies. We offer exceptional growth opportunities, a culture that values curiosity and learning, and the chance to work alongside talented professionals in the heart of the financial district.
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 employees at Jane Street on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Quantitative Researcher. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and understanding key concepts in data science and machine learning. Practice coding challenges and be ready to discuss your thought process during problem-solving. We want to see how you think!
✨Tip Number 3
Show off your curiosity! During interviews, ask insightful questions about the company’s trading strategies and how they use data. This not only demonstrates your interest but also helps you understand how you can contribute to the team.
✨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 us 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 curiosity shine through! Share examples of how you've tackled interesting problems in the past and what you learned from them. We love candidates who are eager to ask questions 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 precise language to describe your experiences and skills, especially when it comes to programming and data analysis.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to highlight relevant experiences that align with our job description. Mention specific techniques or projects that demonstrate your expertise in statistical and machine learning methods.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your skills and experiences in a way that stands out to us!
How to prepare for a job interview at Jane Street
✨Know Your Models
Make sure you’re well-versed in the different types of models and techniques you might use. Brush up on linear models, deep learning, and any other statistical methods relevant to financial datasets. Being able to discuss how these models can be applied to real-world trading scenarios will impress your interviewers.
✨Show Your Curiosity
Demonstrate your intellectual curiosity by asking insightful questions during the interview. This could be about their current projects, the challenges they face, or how they approach problem-solving. It shows that you’re not just interested in the job, but also in contributing to the team’s success.
✨Collaborate and Communicate
Since collaboration is key at Jane Street, practice articulating your thoughts clearly and concisely. Be prepared to discuss past experiences where you worked with diverse teams. Highlight how you’ve communicated complex ideas effectively, as this will resonate well with their team-oriented culture.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python, experiment design, and time series analysis. Brush up on your coding skills and be ready to solve problems on the spot. Practising coding challenges beforehand can help you feel more confident and prepared.
