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For Companies At a Glance
- Tasks: Tackle finance's biggest questions using cutting-edge machine learning techniques.
- Company: Join G-Research, a leading tech firm in a dynamic and collaborative culture.
- Benefits: Competitive pay, annual bonuses, free lunch, 35 days leave, and great work-life balance.
- 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: Vibrant research community with opportunities for growth and attending top conferences.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the Machine Learning Researcher role at B&R Beurs Eindhoven Investment Society.
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 the 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?
- 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
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Other
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Machine Learning Researcher employer: B&R Beurs Eindhoven Investment Society
Contact Detail:
B&R Beurs Eindhoven Investment Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars related to machine learning. We can’t stress enough how valuable it is to build relationships; you never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in machine learning. Whether it's Kaggle competitions or personal projects, having tangible evidence of your skills can really set you apart. We love seeing what you can do, so make sure to highlight your best work!
✨Ace the Interview
Prepare for technical interviews by brushing up on your algorithms and coding skills. Practice common ML problems and be ready to discuss your thought process. Remember, we’re looking for problem solvers, so don’t just focus on getting the right answer—show us how you think!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love candidates who take the initiative to reach out directly. So go ahead, hit that apply button and let’s get the conversation started!
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Researcher role. Highlight relevant experience, especially in ML techniques and programming skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for machine learning and finance, and explain why you’re excited about joining us at G-Research. Let your personality come through!
Showcase Your Projects: If you've worked on any interesting ML projects or competitions, make sure to mention them! We love seeing practical applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at B&R Beurs Eindhoven Investment Society
✨Know Your ML Stuff
Make sure you brush up on the latest machine learning techniques and algorithms. Familiarise yourself with recent publications from conferences like NeurIPS and ICML, as they might come up in conversation. Being able to discuss these topics confidently will show your passion and expertise.
✨Show Off Your Coding Skills
Since strong programming skills are crucial for this role, be prepared to demonstrate your proficiency in Python and libraries like Scikit-Learn and NumPy. You might even be asked to solve a coding problem during the interview, so practice some common algorithms and data manipulation tasks beforehand.
✨Prepare Real-World Examples
Think of specific projects or competitions you've participated in that showcase your ability to develop novel machine learning algorithms. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will help illustrate your problem-solving skills and creativity.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company's research culture, the types of projects you'll be working on, and how success is measured. This not only shows your interest but also helps you determine if the company is the right fit for you.
