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- Tasks: Tackle finance's biggest questions using cutting-edge machine learning techniques.
- Company: G-Research, a leading quantitative research and technology firm in Central London.
- Benefits: Competitive salary, annual bonus, 35 days leave, and comprehensive healthcare.
- Why this job: Make a real impact with your ideas using massive compute power and clean data.
- Qualifications: Post-graduate degree or commercial experience in machine learning; strong programming skills required.
- Other info: Join a vibrant research community with excellent career growth and work/life balance.
The predicted salary is between 48000 - 72000 £ per year.
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab.
The Role
Our researchers have a challenge: disproving the efficient market hypothesis every day. This requires them to harness massive compute power and to use state-of-the-art ML techniques – published in recent conferences or developed entirely in-house – as textbook methods won’t beat the competition.
ML is integral to develop successful investment management strategies; it is one of the core drivers of our overall performance and success. It has long been a key tool at G-Research and we count a range of ICML and NeurIPS published researchers among our people.
Our ML practitioners have huge amounts of (clean) data and near infinite compute at their fingertips, with which they’re incentivised to explore the cutting-edge and find the 1% of difference. And 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 and discuss them within our vibrant, collaborative research community, and attend the leading conferences worldwide, such as NeurIPS and ICML.
In this research role you will be able to develop and test your ideas with real-world data in an academic environment.
Who Are We Looking For?
The ideal candidate will have:
- Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle
- Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference
- Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own models
- Strong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas and Jupyter Notebooks is desirable. Experience with object-oriented programming is beneficial
- Publications at top conferences, such as NeurIPS, ICML or ICLR, is highly desirable
Why Should You Apply?
We offer:
- 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 an equal opportunities employer and welcomes applications from all qualified candidates.
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Machine Learning Researcher employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
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
Stay updated with the latest in ML! Read recent papers and be ready to discuss them during interviews. It shows us you're passionate and committed to pushing the boundaries in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love candidates who take the initiative to go directly to the source!
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 those big questions in finance, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Machine Learning Researcher role. Use keywords from the job description to show us you’re a perfect fit for our team.
Be Yourself: Let your personality shine through in your application. We value a dynamic and flexible culture, so showing us who you are can make a real difference in your application.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you into our exciting process!
How to prepare for a job interview at NLP PEOPLE
✨Know Your ML Stuff
Make sure you brush up on the latest machine learning techniques, especially those relevant to finance. Be ready to discuss your experience with deep learning, reinforcement learning, and any novel algorithms you've developed. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, especially those that involved real-world data. Highlight your role, the challenges you faced, and how you overcame them. If you have publications or competition results, bring them up – they can really set you apart!
✨Get Comfortable with Data
Since G-Research deals with massive amounts of clean data, be ready to discuss how you handle data preprocessing and model evaluation. Familiarise yourself with tools like Python, Scikit-Learn, and Pandas, and be prepared to explain your coding process and decision-making.
✨Engage in the Research Community
Demonstrate your passion for machine learning by discussing recent papers or conferences like NeurIPS and ICML. Showing that you’re actively engaged in the research community will highlight your commitment to staying at the forefront of the field and your eagerness to contribute to their vibrant culture.
