Quantitative Researcher – Postgraduate London

Quantitative Researcher – Postgraduate

• 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

• Role overview
• Who are we looking for
• Our benefits
• The process
• Why apply
• Meet our people
• Interview process

• Quantitative Research
• London

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite 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.

Take the next step in your career.

The role

Our researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.

This requires them to harness massive compute power and use state-of-the-art ML techniques to find innovative solutions, as textbook methods won’t beat the competition.

This is a pure research role where you will be able to develop and test your ideas with real-world data in an academic environment.

Machine Learning College

ML College is an established, in-house learning programme at G-Research. It’s designed to develop our researchers into fully-fledged machine learning practitioners through a world-class, custom curriculum.

ML College is exclusive to new and existing Quantitative Researchers at G-Research, so if you join us in this role you’ll be able to take advantage of a learning experience tailored to accelerate your knowledge and expertise in machine learning quickly and effectively.

Find out more about the G-Research ML College.

Who are we looking for?

The ideal candidate will have:

• An interest in applying mathematical concepts to real-world financial problems
• An interest in implementing theoretical insights as working code
• A Masters or PhD degree (or be working towards one) in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineering
• Previous financial experience is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here

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

Relocation Support

If you're relocating from within the UK or internationally to join us in London, we offer a comprehensive range of support services to assist you all the way. Costs associated with your relocation and immigration are covered by G-Research.

• Concierge service: Your personal consultant will arrange travel, help find your new home and manage your move. They're also on hand to help with more bespoke requests too.

• Immigration support: We'll partner you with an expert consultant who will guide you through the immigration process.

"I was surprised by how much access I had to G-Research’s compute. I was able to run a significant number of jobs on the compute farm, similar to a full-time researcher, which gave me the freedom to explore different ideas through experimentation."

Get to know us

What is it like working at a leading quantitative research and technology firm?

Watch our video

What our people say

"What’s stood out is how much ownership I’ve had without ever feeling like I was on my own. I’ve been treated as part of the team, with people always happy to answer questions, discuss ideas or help when I need it."

"Sitting alongside experienced engineers means I can ask questions, discuss ideas and learn from how they approach their work."

"I had the autonomy to lead mini-projects, contribute to ongoing investigations and shape the outcome of technical workstreams."

"It’s nice to work on something useful, rather than just an intern project. I’ve had feedback from people saying they’ll use the app regularly, which is great to hear."

"The dashboards I’ve created are already being used and having a tangible impact, which I’ve found really rewarding."

"G-Research gave me a unique experience where I'm surrounded by both very talented and very approachable people and where my contributions are impactful."

"We had a lot of freedom to explore different aspects of the project and really make it our own, which I really enjoyed."

"My internship was a hugely valuable experience that sharpened my skills and gave me a new perspective on building models with real-world impact."

"One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."

"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

"My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on."

"There was a lot I didn't know about G-Research, so I gained insights from those who interviewed me. They all came across as intelligent, curious and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will."

"The two biggest things that I like about working at G-Research are the smart and incredibly friendly colleagues, as well as being able to strike a really good work-life balance, in contrast to a lot of the finance industry."

Interview process

Quick and easy: We will ask for your CV/resume and a few personal details like your education and contact information. Our Talent Acquisition team will review your application to see if you are a good fit and you will receive an update on the status of your application within one week of applying.

You will be asked to complete one of two quant quizzes; either a general quantitative aptitude assessment, or an ML specific one, depending on your background.

Typically, you will sit four interviews, one of which will focus on in-depth technical questions in mathematics. Each interview will last one hour.

If your profile is better suited to ML, you’ll complete two one-hour interviews, which will focus on your ML knowledge, but do expect to answer questions on mathematics, programming and stats that are relevant to the ML space as well!

Following the successful completion of the technical interviews, you will meet some of our leaders.

Learn more about G-Research

We encourage our people to make a positive impact on our local communities in London.

We are passionate about nurturing the next generation of STEM talent.

Latest news

• 23 Jan 2024
• Quantitative research

• 23 Jan 2024
• Quantitative research

• 23 Jan 2024
• Quantitative research

From G-Research's posting. See the original