We are a leading quantitative research and technology company. We analyse the world's data using the latest mathematical techniques and cutting edge technology to predict movement in financial markets

Founded 2001
1001-1500 employees
  • Analytics & Business Information
  • Research, Management, & Consulting
  • Banking, Corporate Finance, & Investing
  • Headquarters address
    Whittington House, 19-30 Alfred Pl, Fitzrovia, London WC1E 7EA, UK
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    G-Research hires 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.

    Our Divisions

    Software Engineering:

    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.

    Infrastructure Engineering:

    We are developing the next generation of infrastructure that can effortlessly scale and flex. This capability allows us to adapt to the demanding needs of the business to process and analyse large and varied data sets at speed.

    Quantitative Research, Machine Learning and Data Science:

    We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.

    Cyber Security:

    Keeping our ideas safe and secure is crucial to our success. That's why we use pioneering techniques that predict and protect us from attacks. Together, we're building the next generation of security approaches and thinking.

    Our culture

    Join us and you'll explore complex challenges with some of the world's smartest people in an open and informal environment. We are all working towards achieving our long-term goal: human ingenuity limited only by the speed of thought. There is also a lively social side to G-Research with many team events and company-wide events.

    What We Look For

    In Software Engineering:

    Ideal candidates will be able to quickly adapt to new technologies and are strong, practical coders who have a background in a Computer Science or related technical degree, ideally

    We are interested in meeting individuals who have a proven ability to develop high quality software with experience of C#, Java, C++ or other mainstream modern programming languages. Ideal candidates should be able grasp core programming concepts, complex data structures, and appreciate good software architecture. We strongly encourage candidates from a non-financial background to apply.

    In Infrastructure Engineering:

    If you have experience of delivering high quality projects within a technical environment and you’re passionate about technology, you would be a great fit.

    In Quantitative Research and Machine Learning

    You’ll have a record of academic achievement in mathematics, physics, machine learning, computer science or engineering. There’s no need for experience in finance.


    Based in the heart of Central London, we are served by 5 stations and 6 tube lines, with the closest station Goodge Street within seconds of the office. Being situated in the vibrant West End means you are in walking distance of many top London attractions and shopping districts.

    Tech stack

    Java, Scala, C#, F#, JavaScript, Hadoop, Spark, Kafka, Cassandra, Kubernetes, AWS, OpenStack, Microservices, Distributed Storage Systems, Linux, Machine Learning, NLP, Deep Learning, .NET core, Tensorflow, Python, C++, Terraform, Ansible, Go, Elasticsearch, Elastic Stack (ELK), ELK Stack


    Compensation and retirement

    Performance bonus
    401k plan
    401k matching
    Pension plan

    Health and wellness

    Health insurance
    Dental insurance
    Vision insurance
    Life insurance
    Disability insurance
    Child or elder care stipend
    Fitness reimbursement
    Mental health benefits

    Vacation and time off

    Paid time off
    Paid holidays
    Flexible working hours
    Work from home flexibility
    Volunteer time off
    Maternity benefits
    Paternity benefits

    Personal development

    Tuition reimbursement
    Management training
    Job training
    Conferences reimbursement
    Internship program
    Mentorship opportunities
    Career growth

    Values and quality of life

    Diversity program
    Accessible via public transportation
    Bike parking
    Employee groups and committees
    Snacks and beverages
    Catered breakfasts
    Catered lunches
    Matching charitable donations
    Company activities
    Games and recreation
    Social impact
    G-Research - Two Engineers having a conversation
    G-Research - Two Software Engineers having a conversation
    G-Research - A Software Engineer smiling
    G-Research - G-Research image 4