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- Tasks: Build and test machine learning models for trading strategies in a fast-paced environment.
- Company: Join Jane Street, a leading global trading firm known for innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of ML in finance, shaping future developments and strategies.
- Qualifications: Deep understanding of ML techniques; experience in applied or academic settings required.
- Other info: Contribute to hiring, teaching, and setting goals for the ML research team.
The predicted salary is between 43200 - 72000 £ per year.
Machine learning is a critical pillar of Jane Street's global business, and our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation. Researchers at Jane Street are responsible for building models, strategies, and systems that price and trade a variety of financial instruments. This work involves analyzing large datasets, building and testing models, creating new trading strategies, and writing the code that implements them.
We’re looking for people to join the research team with deep ML experience in either an applied or academic context. A good candidate should have a deep understanding of a wide variety of ML techniques, and a passion for tinkering with model architectures, feature transformations, and hyperparameters to generate robust inferences. We also want people who are good communicators, with the ability to quickly absorb the context of a new problem, carefully consider tradeoffs, and recommend possible solutions.
As an ML researcher, your expertise will also shape the firm’s future ML developments including hiring new ML researchers, attending conferences, teaching techniques to teammates, and setting firmwide goals.
Machine Learning Researcher employer: Jane Street
Contact Detail:
Jane Street Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Familiarise yourself with the latest trends and techniques in machine learning, especially those relevant to finance. This will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the ML community by attending conferences or webinars. Networking with professionals in the field can provide insights into what companies like Jane Street are looking for and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your past projects in detail, particularly those involving model building and data analysis. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Tip Number 4
Showcase your communication skills by practising explaining complex ML concepts in simple terms. This is crucial as the role requires collaboration and sharing knowledge with teammates and stakeholders.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Machine Learning Researcher at Jane Street. Familiarise yourself with their approach to ML and how it integrates into their trading strategies.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with machine learning techniques, especially in applied or academic contexts. Include specific projects where you've built models or developed trading strategies, showcasing your problem-solving skills.
Showcase Communication Skills: Since good communication is key for this role, provide examples in your application that demonstrate your ability to explain complex ML concepts clearly. This could be through previous teaching experiences, presentations, or collaborative projects.
Tailor Your Application: Customise your application materials to reflect Jane Street's values and the specifics of the job description. Use keywords from the job posting to align your skills and experiences with what they are looking for in a candidate.
How to prepare for a job interview at Jane Street
✨Showcase Your ML Expertise
Be prepared to discuss your experience with various machine learning techniques. Highlight specific projects where you've applied these methods, and be ready to explain the outcomes and any challenges you faced.
✨Demonstrate Problem-Solving Skills
During the interview, expect to tackle hypothetical scenarios or case studies. Practice articulating your thought process clearly, considering trade-offs, and proposing well-reasoned solutions to complex problems.
✨Communicate Effectively
Since good communication is key for this role, practice explaining technical concepts in a way that’s accessible to non-experts. This will show your ability to convey complex ideas clearly and effectively.
✨Prepare for Technical Questions
Brush up on your coding skills and be ready to solve technical problems on the spot. Familiarise yourself with common algorithms and data structures, as well as the tools and languages relevant to machine learning.
