Working at G-Research | Glassdoor

G-Research Overview

London, England (UK)
501 to 1000 employees
2001
Company - Private
Computer Hardware & Software
Unknown / Non-Applicable
G-Research is Europe’s leading quantitative finance research firm. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to ... Read more

Company Updates

  • Build a model to predict this season's NBA scores, and compete with others for a prize pot totalling £30,000! Learn more at: http://glassdoor.com/slink.htm?key=vM2Uo

  • We’re thrilled to announce that we’ll be hosting the London Machine Learning NeurIPS Meetup 2019! Register to attend: 12th December 2019: http://glassdoor.com/slink.htm?key=vML8B 14th December 2019: http://glassdoor.com/slink.htm?key=vML8F

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G-Research – Why Work With Us?


Create today. Predict tomorrow.

G-Research is a leading quantitative research and technology firm, based in London.

We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.

We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment. 

Visit the G-Research website to find out more and apply.

Our quantitative researchers use the latest scientific techniques and advanced data analysis methods to predict the movements in global financial markets. They have the freedom, support and resources to explore a wide range of ideas, finding patterns in large, noisy real-world data sets.

 

Mathematical Modelling

Our technology and resources are combined to build a single, powerful platform for researching algorithmic trading strategies. We use rigorous scientific methodology, robust statistical analysis, and pattern recognition to analyse an extensive and varied financial data ecosystem, extracting deep insights from truly massive datasets. Our platform provides the ability to test your mathematical models in action and get instant results using real world data.

 

Inspirational Mathematicians

We pride ourselves on our supportive, intellectual culture. Most of our Researchers have joined from PhDs or Postdocs from top-tier global institutions and we have among our ranks multiple IMO medallists and Fulbright Scholars.

Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.

Cutting-Edge Technology

Our engineers are bright, creative, and happy to use their initiative when tackling technical challenges. Everyone is given the freedom to find new solutions, either by developing them in-house or using the latest approaches and systems. We have access to extensive resources to invest in top-end hardware and cutting-edge technology.

Inspirational, Collaborative Community

We have a collaborative community of specialist engineers from a wide range of backgrounds. Everyone here shares a passion for technology and works at the forefront of development, always improving our software, approach, and skill set.

Our engineers work in functional teams, creating the opportunity to see the software we have built in action and gain rapid feedback from users.

Fabian - Quantitative Researcher

"Before joining G-Research, I completed an Applied Mathematics PhD at Oxford, where I worked on modelling flows of customers inside supermarkets (in collaboration with Tesco). As a Quantiative Researcher, I work on producing forecasts of market returns using mathematical models and various data feeds.

The two biggest things that I like about working at GR 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)."

 

                                     

Annie - Software Engineer

"I was 2 years into my BA in Computer Science at Cambridge when I first joined G-Research as an Software Developer Intern. I then came back to G-Research after I finished my degree, returning to the data development division as a Software Developer.

I first came across G-Research at a careers fair, where I was looking for something to fill my summer and get some valuable experience. After interning here for three months I knew that I wanted to come back.

I love the fact everyone continues to learn and adapt with the changes in technology. You have the freedom to try out new technologies and find the best fit for each application. The company is also very sociable, with monthly company drinks, a summer ball, and an annual weekend away, which is a great way to meet other people around the company. This creates a very friendly work environment. "

                                         

 

Ross - Cloud Engineer

"I studied Computer Network Management and Design at the University of Portsmouth, following this I worked at a small UK hosting company for several years, running their OpenStack-based public cloud platform. I’ve been at GR for around 18 months and in this time I’ve been solely focused on engineering and operating an internal compute platform based on open-source software. 

My favourite thing about working at G-Research is the people. G-Research strive to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company."

 

                                     

Charlotte - Security Support Specialist Team Lead

"I studied Forensic Computing and Security at Bournemouth University and completed a placement year here at G Research in the Security Operations team.  I knew GR had access to a lot interesting and innovative technologies so I was very excited and pleased when I received the internship. After a successful year on placement, I was delighted to be offered a graduate role when I completed my degree.

Being a part of a central support team means you get to learn about multiple areas of the company and see what others teams are involved in. It’s the people here at GR which make it an amazing place to work, everyone is very helpful and nothing is too much trouble. With new technology being developed all the time there’s so many new projects to be involved in and always more to learn. "

 

                                             

We offer an exceptional employee package which includes:

  • Highly competitive compensation plus annual discretionary bonus
  • Informal dress code and excellent work/life balance
  • Comprehensive private healthcare and life assurance
  • 25 days holiday
  • 9% contributory pension scheme
  • Cycle-to-work scheme
  • Subsidised gym membership
  • Monthly company events and an annual company weekend away
  • Central London office close to 5 stations and 6 tube lines
  • Charity fundraising matching scheme
  • Expert guest speakers
  • Season ticket loan
  • Enhanced Maternity Leave (up to 6 months)
  • GAYE - Give As You Earn
  • Eye-care vouchers

G-Research Reviews

  • "Superb"

    StarStarStarStarStar
    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Comp & Benefits
    • Senior Management
    Current Employee - Software Engineer in London, England (UK)
    Current Employee - Software Engineer in London, England (UK)
    Recommends
    Positive Outlook

    I have been working at G-Research full-time

    Pros

    Smart people, solid tech, a lot of freedom

    Cons

    Productivity suffers due to various security measures but that's fair price to pay.

See All 58 Reviews

G-Research Photos

G-Research photo of: Quantitative Researcher - Anna
G-Research photo of: Human Resources- Tanya
G-Research photo of: Software Engineer- Yusuff
G-Research photo of: Software Engineer- Annie
G-Research photo of: Graduate Security Engineer- Simeon
G-Research photo of: Graduate- Ryan
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G-Research Interviews

Experience

Experience
49%
20%
31%

Getting an Interview

Getting an Interview
40%
37%
16%
4
2
1

Difficulty

3.5
Average

Difficulty

Hard
Average
Easy
  1. Helpful (4)  

    Quant Researcher Interview

    Anonymous Interview Candidate
    No Offer
    Positive Experience
    Average Interview

    Application

    I applied online. I interviewed at G-Research.

    Interview

    It was a video conference with one person. They asked me about my research (I am a PhD student), why I want to go into finance, then asked some math/statistics questions, then asked a programming question.

    Interview Questions

    • - How would you approximate sqrt(110)?
      - Describe linear regression, in particular what it is optimizing.
      - What would be the best fit line for the points (0,4), (2,4) and (2,6)?
      - There is a group of n people, and you are given a function know(i,j) that outputs True if person i knows person j. Note that this is not necessarily symmetric, i.e. person i may know person j, but person j may not know person i. A celebrity is a person that everyone knows, but who knows no one else. Write a function that outputs a list of all the celebrities.   Answer Question
See All 176 Interviews

G-Research Awards & Accolades

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