At a Glance
- Tasks: Explore complex problems in finance using cutting-edge machine learning techniques.
- Company: Join a leading research team at G-Research in London.
- Benefits: Competitive pay, generous leave, free lunch, and a vibrant work culture.
- Other info: Enjoy a flexible dress code, excellent work/life balance, and monthly company events.
- Why this job: Make a real impact with your ideas and collaborate with world-class peers.
- Qualifications: Post-graduate degree or experience in machine learning; strong programming skills required.
The predicted salary is between 60000 - 80000 £ 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
At G-Research, we pride ourselves on being an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and exploration in the field of machine learning. Our London HQ provides researchers with access to near-limitless compute resources and clean data, enabling them to tackle complex problems in quantitative finance while enjoying competitive compensation, generous annual leave, and a strong commitment to work/life balance. With opportunities for professional growth through attendance at leading conferences and a focus on inclusivity, G-Research is the ideal place for those looking to make a meaningful impact in their careers.
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 on LinkedIn or attend industry meetups. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that tackle real-world problems. This will help us see your practical experience and creativity.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and coding skills. Practise with platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Talk about the latest ML techniques you've explored or any interesting projects you've worked on. We love candidates who are eager to push boundaries and dive deep into complex problems.
Highlight Relevant Experience:Make sure to showcase your experience with machine learning algorithms and any competitions you've participated in, like Kaggle. If you've got publications at top conferences, don’t forget to mention them – they really catch our eye!
Be Clear and Concise:While we appreciate detail, clarity is key! Keep your application straightforward and to the point. Use bullet points if it helps to make your skills and experiences stand out. We want to see what makes you a great fit without wading through too much text.
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 keen on joining our team at G-Research!
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 mentioned in the job description. Be ready to discuss your experience with deep learning, reinforcement learning, and any relevant algorithms you've worked on. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed novel machine learning algorithms. If you've participated in competitions like Kaggle, highlight your achievements and what you learned from them. Real-world examples will help demonstrate your skills and passion for the field.
✨Engage with Their Research
Familiarise yourself with the company’s recent publications and research focus. Bring up any relevant papers or findings during the interview to show that you’re genuinely interested in their work. This can spark a great conversation and demonstrate your enthusiasm for contributing to their research community.
✨Ask Insightful Questions
Prepare thoughtful questions about their research environment, team dynamics, and how they approach problem-solving. This not only shows your curiosity but also helps you gauge if the company culture aligns with your values. Plus, it leaves a positive impression on the interviewers!
