Analytics Services Platform Engineer

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.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

The role

At G-Research, we thrive on innovation and cutting-edge technology to drive world-class research and business capabilities. As our operations continue to grow, we’re seeking an experienced Platform Engineer to join our Analytics Services team.

In this role, you’ll help shape the next generation of our analytics infrastructure — designing, building and operating large-scale distributed platforms that power our research, trading and engineering teams. You’ll deliver highly available, secure and high-performance analytics services across on-premises and AWS environments, using technologies such as Spark, Trino, Kafka, ClickHouse and Airflow.

This is a highly collaborative position, working directly with researchers and engineers to evolve platform capabilities, automate operations and explore emerging technologies that drive innovation across the business.

Key responsibilities of the role include:

Building, operating and scaling distributed analytics platforms across on-premises and AWS environments
Designing and implementing new platform features that enhance usability, scalability and the developer experience
Collaborating with research, data and engineering teams to accelerate time-to-insight through modern analytics solutions
Driving improvements in automation, observability and resilience across analytics services
Evaluating and adopting emerging technologies such as AI assistants, data mesh and cloud-native analytics solutions
Defining SLAs, KPIs and monitoring strategies to ensure reliability, security and service excellence
Participating in the out-of-hours rota to support critical systems

Who are we looking for?

Core skills and technologies

Experience running distributed data and analytics systems at scale using tools such as Spark, Kafka, Trino or Airflow
Strong Linux skills and proficiency in Python for automation and integration
Familiarity with infrastructure as code, using Terraform or Ansible
Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA
Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry
Strong problem-solving skills and a systematic approach to diagnosing and resolving issues

Highly desirable skills

Experience with streaming frameworks such as Flink, Kafka Streams and Kafka Connect
Knowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data Catalog
Exposure to DataOps practices and collaboration with Data Engineering teams
Familiarity with GPU-accelerated analytics using Spark with GPUs or RAPIDS
Programming experience with Java, Scala, C#, Python or Go

Why join us?

Highly competitive compensation plus annual discretionary bonus
Lunch provided (via Just Eat for Business) and dedicated barista bar
30 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

Location: London

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Mia 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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Get to know us

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

Watch our video

We are G-Research, a leading quantitative research and technology firm. From our offices in London and Dallas, we bring together world class researchers and engineers in a collaborative culture that values deep exploration, methodical execution, and long-term thinking. We apply scientific rigour, advanced machine learning, and cutting edge technology to tackle the hardest problems in finance, to predict movements in global markets. We are hiring. Build your career and bring your ideas to life in a culture that amplifies your impact and supports your growth. Discover where your curiosity could take you.

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What our people say

Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work here."

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Neil Corporate IT Manager

"My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition."

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Ross Cloud Engineering Manager

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

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Margot HRIS manager

"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."

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Alexander Software Engineer

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

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Simon Cyber Security Manager

"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research's belief in fostering growth and recognising potential."

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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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Yang Quantitative Researcher

"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."

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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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Clement Senior 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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