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We are a leading quantitative research and technology firm.

We hire the brightest minds to tackle the biggest questions in finance. We pair our people’s expertise with machine learning, big data, and emerging tech to predict movements in financial markets.

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Our teams

Quantitative Research and Machine Learning
We find patterns in noisy, real-world datasets to predict movement in financial markets.
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Engineering
We collaborate with researchers, design real-time platforms and process massive datasets at speed and scale.
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Technology Innovation Group
We identify, test and on-board the latest tech, enabling our researchers and engineers to keep innovating.
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Open-Source Software
We partner with and invest in the open source community.
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Get to know us

What our people say

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Fabian SENIOR QUANTITATIVE RESEARCHER

"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)."

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Mia Infrastructure Development Software Engineer

"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."

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Yousuf Machine Learning Engineer

"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."

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Sebastian Senior Quantitative Researcher

"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)."

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Clement Quantitative Researcher

"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."

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Dexter SOFTWARE ENGINEER

"Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey."

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Take the Next Step in Your
Career

Thrive in a collaborative, flexible environment where smart people learn and grow together.

Latest events

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  • Quantitative Engineering
  • Quantitative Research

TUM Quant Challenge at the TUM Makeathon

27 Apr 2024 Technical University of Munich
  • Quantitative Engineering
  • Quantitative Research

Tubingen Quant Challenge

25 Apr 2024 Hotel Krone, Uhlandstrasse 1, 72072 Tübingen, Germany
  • Machine Learning
  • Quantitative Research

Spring into Quant Finance 2024

15 Apr 2024 - 19 Apr 2024 Royal-Riviera Hotel, Av. Jean Monnet, 06230 Saint-Jean-Cap-Ferrat, France

Latest news

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Insights from SXSW 2024: Reflections of a G-Research Software Engineer
  • 08 Apr 2024

Here, Michael W, an engineer in our Dallas engineering and infrastructure hub, provides an overview of what he took away from his time at SXSW 2024.

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Insights from SXSW 2024: Reflections of a G-Research Platform Engineer
  • 22 Mar 2024

Here, Robin L, a Big Data Platform engineer in our Dallas engineering and infrastructure hub, provides an overview of what he took away from his time at SXSW 2024.

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An interview with James Ashton
  • 05 Mar 2024

We spoke to James Ashton (financial journalist and author) on Arm’s success, the widespread use of its technology and some thoughts on what’s next for the business.

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G-Research February 2024 Grant Winners
  • 29 Feb 2024

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our February grant winners.

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An interview with Professor Sir Andre Geim
  • 12 Feb 2024

We spoke to Professor Sir Andre Geim, Nobel Prize-Winning Physicist and father of Graphene in an exclusive interview shot ahead of his keynote talk at the G-Research Distinguished Speaker Symposium.

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Observing Spark Aggregates: Cheap Metrics from Datasets
  • 06 Feb 2024

Hear from one of our Open-Source Engineers and discover the crucial role of data assumptions in pipelines and the necessity of monitoring dataset characteristics before processing to ensure downstream reliability.

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G-Research January 2024 Grant Winners
  • 31 Jan 2024

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our January grant winners.

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PySpark apps with dependencies: Managing Python dependencies in code
  • 24 Jan 2024

Hear from one of our Open-Source Engineers and learn how to streamline the deployment of Python Spark applications on clusters like Yarn or Kubernetes.

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