At a Glance
- Tasks: Tackle big finance questions using cutting-edge machine learning techniques and massive compute power.
- Company: G-Research, a leading quantitative research and technology firm in London.
- Benefits: Competitive salary, annual bonus, 35 days leave, and comprehensive healthcare.
- Other info: Join a diverse team and enjoy excellent work/life balance with monthly company events.
- Why this job: Make a real impact in finance with your ML skills in a vibrant, collaborative environment.
- Qualifications: Post-graduate degree or commercial experience in machine learning; strong programming skills required.
The predicted salary is between 48000 - 72000 £ per year.
We tackle the most complex problems in quantitative finance from our London HQ, uniting world‑class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas take time to evolve. Together we’re building a world‑class platform to amplify our teams’ most powerful ideas. Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what’s possible – all with the support of near‑limitless compute and world‑class peers.
The role – Our researchers aim to disprove the efficient market hypothesis every day, harnessing massive compute power and state‑of‑the‑art ML techniques published in recent conferences or developed entirely in‑house. ML is integral to develop successful investment management strategies and is a core driver of our overall performance and success. Our ML practitioners have huge amounts of clean data and near‑infinite compute at their fingertips; they’re incentivised to explore the cutting‑edge and find the 1% difference. Unlike pure problems, our researchers get near instantaneous feedback in the form of absolute numbers where success is highly measurable and has a direct impact on the business. As a team we read the latest publications in the field, discuss them within our vibrant, collaborative research community, and attend leading conferences worldwide, such as NeurIPS and ICML.
In this research role you will develop and test your ideas with real‑world data in an academic environment.
Qualifications
- Either a post‑graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms.
- Exceptional candidates with a proven record of success in online data science competitions, such as Kaggle.
- Experience in deep learning, reinforcement learning, non‑convex optimisation, Bayesian non‑parametrics, NLP or approximate inference.
- Excellent reasoning skills and mathematical ability.
- Strong programming skills and experience working with Python, Scikit‑Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‑oriented programming is beneficial.
- Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable.
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided (via Just Eat for Business) and dedicated barista bar.
- 35 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle‑to‑work scheme.
- Monthly company events.
G‑Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Machine Learning Researcher employer: Braunford LLP
G-Research is an exceptional employer for Machine Learning Researchers, offering a vibrant and collaborative work culture in the heart of Central London. With access to near infinite compute power and clean data, employees are encouraged to explore cutting-edge ML techniques while enjoying competitive compensation, comprehensive benefits, and a strong commitment to diversity and inclusion. The new Soho Place office fosters an environment where innovative ideas thrive, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Network like a pro! Reach out to current employees at G-Research on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your machine learning projects, especially those that tackle real-world problems. We want to see how you think and solve challenges, so make it shine!
✨Tip Number 3
Get ready for the interview! Brush up on your ML concepts and be prepared to discuss your past experiences. We love candidates who can articulate their thought process and demonstrate their problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who want to join our innovative team.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your machine learning expertise and any relevant projects you've worked on. We want to see how you can tackle complex problems, so don’t hold back on showcasing your best work!
Tailor Your Application:Take a moment to customise your application for the Machine Learning Researcher role. Use keywords from the job description and relate your experience directly to what we’re looking for. It shows us you’ve done your homework!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences. Avoid fluff – we want the good stuff!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it makes the whole process smoother for both you and us.
How to prepare for a job interview at Braunford LLP
✨Know Your ML Stuff
Make sure you brush up on the latest machine learning techniques, especially those relevant to finance. Familiarise yourself with recent publications from conferences like NeurIPS and ICML, as they might come up in conversation.
✨Show Off Your Coding Skills
Be ready to demonstrate your programming prowess, particularly in Python and libraries like Scikit-Learn and NumPy. You might be asked to solve a coding problem or discuss your previous projects, so have examples ready that showcase your skills.
✨Prepare for Problem-Solving Questions
Expect questions that test your reasoning and mathematical abilities. Think about how you would approach developing novel algorithms or models for unique datasets, and be prepared to explain your thought process clearly.
✨Engage with Their Culture
G-Research values collaboration and innovation, so show your enthusiasm for working in a team-oriented environment. Be ready to discuss how you’ve contributed to collaborative projects in the past and how you can bring that spirit to their research community.
