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. 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 involves designing, building and operating large scale distributed platforms that power our research, trading and engineering teams across on premises and AWS environments, using technologies such as Spark, Trino, Kafka, ClickHouse and Airflow. Key Responsibilities 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 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 Benefits 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 Diversity and Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
30/05/2026
Full time
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. 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 involves designing, building and operating large scale distributed platforms that power our research, trading and engineering teams across on premises and AWS environments, using technologies such as Spark, Trino, Kafka, ClickHouse and Airflow. Key Responsibilities 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 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 Benefits 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 Diversity and Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
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 As an Infrastructure Security Engineer, you will combine strong security, infrastructure and scripting skills to automate, deploy and configure security systems critical to the defence of our organisation. Reporting to the Infrastructure Security Manager, you will act as a hands on technical SME for the team, mentoring junior engineers and providing technical input to the security product roadmap across G Research. Key responsibilities Own technical and delivery projects across various technology stacks including Privilege Access, DLP, Email Security, Web Gateway, VPN, ZTNA, Firewall and SEIM systems Assisting with the strategic goals of the business, contributing secure designs and systems to the roadmap Contributing to ongoing threat modelling and assessment of team systems in conjunction with other security teams Deploying, configuring and maintaining security infrastructure Building security system integrations, for example delegated access, secure workflows and infrastructure as code solutions Desired skills and experience Broad enterprise infrastructure experience across Windows, Linux, Entra, firewalls and web proxies, with a strong understanding of how to defend complex environments Hands on experience designing, deploying, tuning and supporting security tooling in production Expert level troubleshooting with a structured, analytical approach to unfamiliar systems Automation experience using Python, Bash or PowerShell Understanding of Entra, SAML, OIDC and Custom Applications Desired Experience Exposure to software engineering practices, such as object oriented languages Experience working in IP sensitive environments with a focus on data security Hands on experience with infrastructure and configuration as code and platform tooling including Ansible, Terraform, Helm, Jenkins, Argo, Docker and Kubernetes Experience integrating complex environments with varying security levels across multiple zones Behavioural Competencies Strategic Thinking: The ability to develop and execute a long term data strategy Precision: Ensure data quality, consistency and reliability at all times Communication: The ability to convey complex data engineering concepts to all stakeholders Leadership: Support and mentor junior colleagues to develop skills and independence Collaboration: Work across teams to ensure alignment of data practices with wider security and business goals 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 Inclusive workplace G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.
30/05/2026
Full time
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 As an Infrastructure Security Engineer, you will combine strong security, infrastructure and scripting skills to automate, deploy and configure security systems critical to the defence of our organisation. Reporting to the Infrastructure Security Manager, you will act as a hands on technical SME for the team, mentoring junior engineers and providing technical input to the security product roadmap across G Research. Key responsibilities Own technical and delivery projects across various technology stacks including Privilege Access, DLP, Email Security, Web Gateway, VPN, ZTNA, Firewall and SEIM systems Assisting with the strategic goals of the business, contributing secure designs and systems to the roadmap Contributing to ongoing threat modelling and assessment of team systems in conjunction with other security teams Deploying, configuring and maintaining security infrastructure Building security system integrations, for example delegated access, secure workflows and infrastructure as code solutions Desired skills and experience Broad enterprise infrastructure experience across Windows, Linux, Entra, firewalls and web proxies, with a strong understanding of how to defend complex environments Hands on experience designing, deploying, tuning and supporting security tooling in production Expert level troubleshooting with a structured, analytical approach to unfamiliar systems Automation experience using Python, Bash or PowerShell Understanding of Entra, SAML, OIDC and Custom Applications Desired Experience Exposure to software engineering practices, such as object oriented languages Experience working in IP sensitive environments with a focus on data security Hands on experience with infrastructure and configuration as code and platform tooling including Ansible, Terraform, Helm, Jenkins, Argo, Docker and Kubernetes Experience integrating complex environments with varying security levels across multiple zones Behavioural Competencies Strategic Thinking: The ability to develop and execute a long term data strategy Precision: Ensure data quality, consistency and reliability at all times Communication: The ability to convey complex data engineering concepts to all stakeholders Leadership: Support and mentor junior colleagues to develop skills and independence Collaboration: Work across teams to ensure alignment of data practices with wider security and business goals 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 Inclusive workplace G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.
Overview 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. Role The Observability Engineering Team manages the doors - both entry and exit - to the telemetry backends at G Research, ensuring our engineers can effectively produce and consume telemetry for their services. As an Observability Engineer, you'll help make observability seamless for developers and platform teams by building pipelines to ingest and route data in predictable, composable ways, as well as visualising that data after the fact. You'll have deep experience across observability stacks, a clear understanding of the unique problems that come with moving cloud level volumes of telemetry data at scale, and excitement at the prospect of ensuring our customers have eyes into the telemetry data to run their services as efficiently as possible. Key Responsibilities Extending and maintaining OpenTelemetry, including collectors, SDKs and exporters Building scalable telemetry pipelines Contributing to Golden Path SDKs and auto instrumentation Ensuring Kubernetes workloads are fully observable and resilient Embedding observability standards across platform and application teams Improving incident response with better telemetry coverage Providing external industry observability experience and input to our long term roadmap Participating in the out of hours on call rotation Qualifications Operating/onboarding SaaS Observability platforms at scale, such as DataDog, NewRelic, Dynatrace etc. Strong hands on experience with OpenTelemetry Familiarity with public cloud infrastructure, ideally AWS Proficiency in Kubernetes and DevOps tooling (Terraform, ArgoCD, Helm, Jenkins) Experience with metrics, logs and tracing backends Coding in Go, Python, or similar Industry background in Observability or SRE Desirable Experience Profiling (eBPF, Pixie, Parca) Synthetic monitoring, AI observability tools and Kafka Benefits 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 Inclusion Statement G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
30/05/2026
Full time
Overview 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. Role The Observability Engineering Team manages the doors - both entry and exit - to the telemetry backends at G Research, ensuring our engineers can effectively produce and consume telemetry for their services. As an Observability Engineer, you'll help make observability seamless for developers and platform teams by building pipelines to ingest and route data in predictable, composable ways, as well as visualising that data after the fact. You'll have deep experience across observability stacks, a clear understanding of the unique problems that come with moving cloud level volumes of telemetry data at scale, and excitement at the prospect of ensuring our customers have eyes into the telemetry data to run their services as efficiently as possible. Key Responsibilities Extending and maintaining OpenTelemetry, including collectors, SDKs and exporters Building scalable telemetry pipelines Contributing to Golden Path SDKs and auto instrumentation Ensuring Kubernetes workloads are fully observable and resilient Embedding observability standards across platform and application teams Improving incident response with better telemetry coverage Providing external industry observability experience and input to our long term roadmap Participating in the out of hours on call rotation Qualifications Operating/onboarding SaaS Observability platforms at scale, such as DataDog, NewRelic, Dynatrace etc. Strong hands on experience with OpenTelemetry Familiarity with public cloud infrastructure, ideally AWS Proficiency in Kubernetes and DevOps tooling (Terraform, ArgoCD, Helm, Jenkins) Experience with metrics, logs and tracing backends Coding in Go, Python, or similar Industry background in Observability or SRE Desirable Experience Profiling (eBPF, Pixie, Parca) Synthetic monitoring, AI observability tools and Kafka Benefits 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 Inclusion Statement G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
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. Take the next step in your career. Role The Colo Engineering and Performance team owns system level application performance in our colos. It provides developers with crucial insight and recommendations for improvement, as well as the information required to determine the most effective hardware and operating system configurations for each site. Key Responsibilities Develop high performance, low latency systems. Collaborate closely with quantitative researchers and developers. Design and optimise rapid trading systems end to end. Apply low level systems programming and optimisation using languages such as C, C++ or similar. Analyse and improve application performance using hardware counters and profiling tools. Qualifications Expertise in low level systems programming and optimisation for extremely low latency, high throughput network applications. Deep understanding of modern computer architecture including cache hierarchies of modern processors. Experience with fast packet processing in user space and familiarity with kernel bypass techniques such as Solarflare OpenOnload, TPCDirect, ef_vi, InfiniBand verbs, DPDK or similar. Experience optimising performance in managed runtime languages such as C# is desirable. Financial market knowledge is not required. Benefits 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. EEO & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. If you have a disability or special need that requires accommodation, please let us know in the relevant section. At G Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
30/05/2026
Full time
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. Take the next step in your career. Role The Colo Engineering and Performance team owns system level application performance in our colos. It provides developers with crucial insight and recommendations for improvement, as well as the information required to determine the most effective hardware and operating system configurations for each site. Key Responsibilities Develop high performance, low latency systems. Collaborate closely with quantitative researchers and developers. Design and optimise rapid trading systems end to end. Apply low level systems programming and optimisation using languages such as C, C++ or similar. Analyse and improve application performance using hardware counters and profiling tools. Qualifications Expertise in low level systems programming and optimisation for extremely low latency, high throughput network applications. Deep understanding of modern computer architecture including cache hierarchies of modern processors. Experience with fast packet processing in user space and familiarity with kernel bypass techniques such as Solarflare OpenOnload, TPCDirect, ef_vi, InfiniBand verbs, DPDK or similar. Experience optimising performance in managed runtime languages such as C# is desirable. Financial market knowledge is not required. Benefits 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. EEO & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. If you have a disability or special need that requires accommodation, please let us know in the relevant section. At G Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
Overview 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. You'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Role We are seeking an experienced Infrastructure Architect to join our Platform and Solution Architecture team. In this role, you'll own the infrastructure roadmap and help define architectural standards across our hybrid environment of private and public cloud platforms. Working closely with other architects in the team, you'll focus primarily on private cloud and on premises infrastructure while defining integration strategies with our public cloud platforms. Your expertise will guide critical decisions on workload placement, technology selection and infrastructure governance, directly influencing how our engineering teams build and deploy systems at scale. This role is critical to our technology strategy. You'll be shaping infrastructure that processes billions of data points daily, supports latency sensitive workloads and must scale seamlessly. Your architectural decisions will impact our competitive advantage and operational efficiency for years to come. Key Responsibilities Owning and developing the on premises infrastructure roadmap, ensuring alignment with business objectives and collaborating with Platform and Solution architects to deliver integrated strategies. Establishing infrastructure principles, standards and patterns that drive consistency, interoperability and quality across our environment. Evaluating and selecting infrastructure technologies, assessing both traditional vendors and cloud providers to make informed recommendations. Acting as the technical authority for on premises architecture, providing leadership on key decisions and serving as an escalation point for engineering teams. Championing architectural best practices across the organisation, ensuring infrastructure designs support broader technology initiatives. Partnering with engineering teams to translate architectural vision into delivered capabilities, using influence and collaboration to drive adoption. Ensuring infrastructure governance and compliance, proactively managing risk while maintaining pragmatic balance between security and business agility. Required Qualifications Extensive experience in infrastructure architecture with a strong focus on private cloud and on premises environments. Deep expertise in virtualization and container platforms (VMware, OpenStack, KVM, Kubernetes) and in Infrastructure as Code practices. Comprehensive networking knowledge, spanning physical infrastructure (switching, routing), network virtualization (SDN, VXLAN), and container networking (overlay networks, CNIs). Hands on experience with public cloud platforms (AWS preferred) and hybrid connectivity patterns. Proven ability to design and deliver infrastructure roadmaps for complex organisations, translating detailed technical design into actionable, strategic plans. Strong leadership and influence skills, driving consensus across diverse stakeholder groups and influencing without authority. Excellent technical communication, making complex infrastructure decisions clear and accessible to both technical and executive audiences. Desirable Qualifications Experience in performance critical environments with low latency and data gravity requirements. Experience with forward proxy and perimeter security solutions, such as explicit / transparent proxy. Hands on knowledge of Kubernetes and container orchestration platforms. Infrastructure automation and observability platforms experience. Emerging technology awareness, keeping an eye on the latest in AI/ML infrastructure and edge computing. Industry certifications, such as AWS Solutions Architect, VMware VCP or similar. Benefits 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. Cycl to work scheme. Monthly company events. EEO Statement G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
30/05/2026
Full time
Overview 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. You'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Role We are seeking an experienced Infrastructure Architect to join our Platform and Solution Architecture team. In this role, you'll own the infrastructure roadmap and help define architectural standards across our hybrid environment of private and public cloud platforms. Working closely with other architects in the team, you'll focus primarily on private cloud and on premises infrastructure while defining integration strategies with our public cloud platforms. Your expertise will guide critical decisions on workload placement, technology selection and infrastructure governance, directly influencing how our engineering teams build and deploy systems at scale. This role is critical to our technology strategy. You'll be shaping infrastructure that processes billions of data points daily, supports latency sensitive workloads and must scale seamlessly. Your architectural decisions will impact our competitive advantage and operational efficiency for years to come. Key Responsibilities Owning and developing the on premises infrastructure roadmap, ensuring alignment with business objectives and collaborating with Platform and Solution architects to deliver integrated strategies. Establishing infrastructure principles, standards and patterns that drive consistency, interoperability and quality across our environment. Evaluating and selecting infrastructure technologies, assessing both traditional vendors and cloud providers to make informed recommendations. Acting as the technical authority for on premises architecture, providing leadership on key decisions and serving as an escalation point for engineering teams. Championing architectural best practices across the organisation, ensuring infrastructure designs support broader technology initiatives. Partnering with engineering teams to translate architectural vision into delivered capabilities, using influence and collaboration to drive adoption. Ensuring infrastructure governance and compliance, proactively managing risk while maintaining pragmatic balance between security and business agility. Required Qualifications Extensive experience in infrastructure architecture with a strong focus on private cloud and on premises environments. Deep expertise in virtualization and container platforms (VMware, OpenStack, KVM, Kubernetes) and in Infrastructure as Code practices. Comprehensive networking knowledge, spanning physical infrastructure (switching, routing), network virtualization (SDN, VXLAN), and container networking (overlay networks, CNIs). Hands on experience with public cloud platforms (AWS preferred) and hybrid connectivity patterns. Proven ability to design and deliver infrastructure roadmaps for complex organisations, translating detailed technical design into actionable, strategic plans. Strong leadership and influence skills, driving consensus across diverse stakeholder groups and influencing without authority. Excellent technical communication, making complex infrastructure decisions clear and accessible to both technical and executive audiences. Desirable Qualifications Experience in performance critical environments with low latency and data gravity requirements. Experience with forward proxy and perimeter security solutions, such as explicit / transparent proxy. Hands on knowledge of Kubernetes and container orchestration platforms. Infrastructure automation and observability platforms experience. Emerging technology awareness, keeping an eye on the latest in AI/ML infrastructure and edge computing. Industry certifications, such as AWS Solutions Architect, VMware VCP or similar. Benefits 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. Cycl to work scheme. Monthly company events. EEO Statement G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Overview 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 build a world class platform to amplify our teams' powerful ideas. Key Responsibilities Design, build and evolve production grade trading platforms and services end to end Optimise software performance, throughput and efficiency at scale Contribute to the reliability and operational excellence of critical systems, including participation in production support rotations Apply strong software engineering practices across testing, code quality, automation and observability Participate in a shared production support rotation, respond to incidents, troubleshoot runtime issues and drive improvements Qualified Candidates Strong background in software engineering, ideally in distributed, real time systems Experience in at least one typed language, such as Java, Kotlin, C#, C++ or Rust Experience with containerisation and orchestration technologies, such as Kubernetes, in production environments A passion for developing robust, maintainable software that is well monitored in production A preference for clean, maintainable code, sound engineering judgement and a business value mindset over specific toolkits Benefits 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 EEO Statement G-Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
30/05/2026
Full time
Overview 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 build a world class platform to amplify our teams' powerful ideas. Key Responsibilities Design, build and evolve production grade trading platforms and services end to end Optimise software performance, throughput and efficiency at scale Contribute to the reliability and operational excellence of critical systems, including participation in production support rotations Apply strong software engineering practices across testing, code quality, automation and observability Participate in a shared production support rotation, respond to incidents, troubleshoot runtime issues and drive improvements Qualified Candidates Strong background in software engineering, ideally in distributed, real time systems Experience in at least one typed language, such as Java, Kotlin, C#, C++ or Rust Experience with containerisation and orchestration technologies, such as Kubernetes, in production environments A passion for developing robust, maintainable software that is well monitored in production A preference for clean, maintainable code, sound engineering judgement and a business value mindset over specific toolkits Benefits 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 EEO Statement G-Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
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 We are seeking a Kubernetes engineer to join our London engineering team. In this role, you'll play a pivotal part in shaping the platforms that enable our research and trading teams to run cutting edge workloads at scale. You will be responsible for designing, building, and operating mature Kubernetes based infrastructure that is secure, resilient, and highly automated, ensuring it can support a wide range of demanding compute requirements. Our environment spans everything from GPU intensive machine learning model training to ultra low latency trading workloads, requiring meticulous attention to performance, reliability, and scalability. You'll work closely with researchers, engineers, and traders to deliver platforms that not only meet immediate needs but also anticipate future growth and innovation. Key Responsibilities Design and operate custom Kubernetes operators/controllers to automate infrastructure beyond off the shelf solutions. Guarantee multi tenant security and isolation, enforcing RBAC and policies with OPA/Gatekeeper. Engineer GitOps driven CI/CD pipelines (ArgoCD, FluxCD) for safe, auditable changes. Drive Infrastructure as Code practices with Terraform and Helm for reliable and repeatable builds. Heavily embed observability using Prometheus, Grafana, and OpenTelemetry to make systems measurable and reliable. Stay ahead of Kubernetes evolution by testing and adopting new versions and features early. Collaborate with teams across the business, refining requirements, challenging assumptions and prioritising developer experience. Contribute to an on call rotation, take ownership of incidents, solve problems openly and share responsibility in a no blame culture. Capture and share knowledge, writing clear runbooks, post mortems, and design documentation. Qualifications Strong Linux system engineering background. Great programming ability in Go or Python, ideally with experience building Kubernetes operators or controllers. Strong understanding of Kubernetes internals, including CRDs, RBAC, custom controllers and scheduler extensions. Hands on experience with Helm and GitOps workflows. Experience implementing multi tenant security controls in Kubernetes, including namespace isolation, network policies, and Open Policy Agent. Proven ability to troubleshoot complex performance and reliability issues across infrastructure and workloads. Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry to monitor cluster metrics and health. Great communication skills, with experience collaborating with internal platform users to gather feedback and deliver improvements. Experience writing and maintaining technical documentation, runbooks, and post incident reviews. Benefits 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 G-Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
30/05/2026
Full time
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 We are seeking a Kubernetes engineer to join our London engineering team. In this role, you'll play a pivotal part in shaping the platforms that enable our research and trading teams to run cutting edge workloads at scale. You will be responsible for designing, building, and operating mature Kubernetes based infrastructure that is secure, resilient, and highly automated, ensuring it can support a wide range of demanding compute requirements. Our environment spans everything from GPU intensive machine learning model training to ultra low latency trading workloads, requiring meticulous attention to performance, reliability, and scalability. You'll work closely with researchers, engineers, and traders to deliver platforms that not only meet immediate needs but also anticipate future growth and innovation. Key Responsibilities Design and operate custom Kubernetes operators/controllers to automate infrastructure beyond off the shelf solutions. Guarantee multi tenant security and isolation, enforcing RBAC and policies with OPA/Gatekeeper. Engineer GitOps driven CI/CD pipelines (ArgoCD, FluxCD) for safe, auditable changes. Drive Infrastructure as Code practices with Terraform and Helm for reliable and repeatable builds. Heavily embed observability using Prometheus, Grafana, and OpenTelemetry to make systems measurable and reliable. Stay ahead of Kubernetes evolution by testing and adopting new versions and features early. Collaborate with teams across the business, refining requirements, challenging assumptions and prioritising developer experience. Contribute to an on call rotation, take ownership of incidents, solve problems openly and share responsibility in a no blame culture. Capture and share knowledge, writing clear runbooks, post mortems, and design documentation. Qualifications Strong Linux system engineering background. Great programming ability in Go or Python, ideally with experience building Kubernetes operators or controllers. Strong understanding of Kubernetes internals, including CRDs, RBAC, custom controllers and scheduler extensions. Hands on experience with Helm and GitOps workflows. Experience implementing multi tenant security controls in Kubernetes, including namespace isolation, network policies, and Open Policy Agent. Proven ability to troubleshoot complex performance and reliability issues across infrastructure and workloads. Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry to monitor cluster metrics and health. Great communication skills, with experience collaborating with internal platform users to gather feedback and deliver improvements. Experience writing and maintaining technical documentation, runbooks, and post incident reviews. Benefits 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 G-Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
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. Take the next step in your career. The role G-Research is a fast growing, software driven organisation where data is at the heart of everything we do. We are looking for an experienced Database Platform Engineer to join our Data Services team. In this role, you will help design, build and operate the mission critical database platforms that underpin research, a global platform and business operations. This role focuses on providing highly available, performant and secure data services. Our environment spans multiple database technologies - PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB - deployed across both on premises infrastructure and the cloud (AWS). The role is highly collaborative, working with research and engineering stakeholders to deliver performant, resilient and secure database services at scale. Key responsibilities of the role include: Building, operating and scaling distributed database services across on premises and AWS environments Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL and CockroachDB, ensuring high availability, disaster recovery and performance Contributing to the design and implementation of automation for database provisioning, upgrades, replication and monitoring using Python, Ansible and Terraform Driving improvements in performance tuning, query optimisation, indexing strategies and storage design Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements Participating in the out-of-hours rota to provide support for critical systems Staying up to date with industry trends and emerging database technologies, helping evaluate their applicability Defining SLAs, KPIs and monitoring strategies to ensure platform reliability, security and service excellence Proactively identifying and resolving stability, security and capacity issues across the platform Qualifications and experience Strong experience with relational database platforms such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning Hands on experience running databases at scale Proficiency with Linux and Python for automation Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar Experience deploying and running services in containerised or Kubernetes environments Understanding of AWS services relevant to data platforms such as RDS, Aurora, S3, EC2 or EKS Familiarity with modern observability stacks such as Prometheus, Grafana, Elk or OTel Desirable: experience with cloud native and distributed SQL databases such as Aurora, YugabyteDB or TiDB Desirable: knowledge of data streaming and integration tools such as Kafka, Debezium and CDC pipelines Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC Desirable: familiarity with DataOps practices and collaboration with Data Engineering teams Benefits 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 G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
30/05/2026
Full time
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. Take the next step in your career. The role G-Research is a fast growing, software driven organisation where data is at the heart of everything we do. We are looking for an experienced Database Platform Engineer to join our Data Services team. In this role, you will help design, build and operate the mission critical database platforms that underpin research, a global platform and business operations. This role focuses on providing highly available, performant and secure data services. Our environment spans multiple database technologies - PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB - deployed across both on premises infrastructure and the cloud (AWS). The role is highly collaborative, working with research and engineering stakeholders to deliver performant, resilient and secure database services at scale. Key responsibilities of the role include: Building, operating and scaling distributed database services across on premises and AWS environments Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL and CockroachDB, ensuring high availability, disaster recovery and performance Contributing to the design and implementation of automation for database provisioning, upgrades, replication and monitoring using Python, Ansible and Terraform Driving improvements in performance tuning, query optimisation, indexing strategies and storage design Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements Participating in the out-of-hours rota to provide support for critical systems Staying up to date with industry trends and emerging database technologies, helping evaluate their applicability Defining SLAs, KPIs and monitoring strategies to ensure platform reliability, security and service excellence Proactively identifying and resolving stability, security and capacity issues across the platform Qualifications and experience Strong experience with relational database platforms such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning Hands on experience running databases at scale Proficiency with Linux and Python for automation Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar Experience deploying and running services in containerised or Kubernetes environments Understanding of AWS services relevant to data platforms such as RDS, Aurora, S3, EC2 or EKS Familiarity with modern observability stacks such as Prometheus, Grafana, Elk or OTel Desirable: experience with cloud native and distributed SQL databases such as Aurora, YugabyteDB or TiDB Desirable: knowledge of data streaming and integration tools such as Kafka, Debezium and CDC pipelines Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC Desirable: familiarity with DataOps practices and collaboration with Data Engineering teams Benefits 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 G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
Overview 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. Take the next step in your career. Responsibilities We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale - executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission-critical. As a Software Engineer in Realtime Quant Frameworks, you'll play a key role in helping our quant researchers move faster across our large-scale compute estate - building systems that reduce the complexity of running workloads across massive compute farms and providing real-time support to keep research running smoothly and efficiently. A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs - the main interface our quants use day-to-day. You'll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real-time visibility into workload progress. Beyond that, you'll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data - creating flexible, high-performance systems that go well beyond the quant finance domain. Qualifications An extensive background in software engineering, ideally in distributed or high-performance systems. Experience with F#, C#, Python or similar languages in production environments. Experience working with Python in research or data-driven workflows. Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases. Strong problem-solving skills and ability to work closely with quantitative researchers. Benefits 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. Diversity & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
30/05/2026
Full time
Overview 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. Take the next step in your career. Responsibilities We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale - executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission-critical. As a Software Engineer in Realtime Quant Frameworks, you'll play a key role in helping our quant researchers move faster across our large-scale compute estate - building systems that reduce the complexity of running workloads across massive compute farms and providing real-time support to keep research running smoothly and efficiently. A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs - the main interface our quants use day-to-day. You'll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real-time visibility into workload progress. Beyond that, you'll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data - creating flexible, high-performance systems that go well beyond the quant finance domain. Qualifications An extensive background in software engineering, ideally in distributed or high-performance systems. Experience with F#, C#, Python or similar languages in production environments. Experience working with Python in research or data-driven workflows. Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases. Strong problem-solving skills and ability to work closely with quantitative researchers. Benefits 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. Diversity & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
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. Take the next step in your career. The role We're looking for a Frontend Engineer to join our Research and Trade DX team in London. Sitting within the Basecamp Technology group and providing specialised engineering capabilities and scalable components to our Research and Trade Technology groups, this is an impactful role that will require you to design, build and operate scalable solutions that enhance the developer experience across our entire organisation. You will play a key role in defining and implementing the team's technical direction, working in close collaboration with engineering teams across the organisation to build out our best in class tooling. You'll own features end to end, raise the bar for code quality and shorten idea to production cycles. Key responsibilities Creating intuitive web experiences by building and evolving Backstage plugins and other React applications Designing and operating scalable TypeScript and Node.js back end services on Linux and K8s Embedding unit, integration and end to end tests and managing automated CI/CD pipelines, using GitHub, Jenkins and Argo CD Taking full operational responsibility for the components you create, including on call participation and post incident reviews Mentoring junior engineers, sharing knowledge through code reviews and tech talks, and fostering continuous learning within the team Identifying workflow friction, prototyping solutions quickly and iterating with stakeholders across the organisation Qualifications Proven experience delivering end to end systems with React, TypeScript, and Node.js Practical knowledge of Backstage (plugin development, software catalogue, TechDocs) Ability to design scalable, resilient, and cost efficient distributed architectures Familiarity with Kubernetes, Terraform, and observability stacks Experience integrating and securing services on major cloud platforms Confidence leading architecture discussions and small technical initiatives Strong written communication, producing clear design docs and RFCs Passion for developer experience and measurable productivity improvements A history of mentoring and fostering an inclusive, high trust culture Benefits 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 G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded.
30/05/2026
Full time
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. Take the next step in your career. The role We're looking for a Frontend Engineer to join our Research and Trade DX team in London. Sitting within the Basecamp Technology group and providing specialised engineering capabilities and scalable components to our Research and Trade Technology groups, this is an impactful role that will require you to design, build and operate scalable solutions that enhance the developer experience across our entire organisation. You will play a key role in defining and implementing the team's technical direction, working in close collaboration with engineering teams across the organisation to build out our best in class tooling. You'll own features end to end, raise the bar for code quality and shorten idea to production cycles. Key responsibilities Creating intuitive web experiences by building and evolving Backstage plugins and other React applications Designing and operating scalable TypeScript and Node.js back end services on Linux and K8s Embedding unit, integration and end to end tests and managing automated CI/CD pipelines, using GitHub, Jenkins and Argo CD Taking full operational responsibility for the components you create, including on call participation and post incident reviews Mentoring junior engineers, sharing knowledge through code reviews and tech talks, and fostering continuous learning within the team Identifying workflow friction, prototyping solutions quickly and iterating with stakeholders across the organisation Qualifications Proven experience delivering end to end systems with React, TypeScript, and Node.js Practical knowledge of Backstage (plugin development, software catalogue, TechDocs) Ability to design scalable, resilient, and cost efficient distributed architectures Familiarity with Kubernetes, Terraform, and observability stacks Experience integrating and securing services on major cloud platforms Confidence leading architecture discussions and small technical initiatives Strong written communication, producing clear design docs and RFCs Passion for developer experience and measurable productivity improvements A history of mentoring and fostering an inclusive, high trust culture Benefits 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 G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded.
Role Overview We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. 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 security role is at the heart of everything we do at G Research. We believe every engineer should have the tools to make smart security decisions throughout the development lifecycle, from writing code to deployment. As part of our DevSecOps team, you will support our engineers and secure our applications, infrastructure, and services while ensuring productivity and efficiency. Key Responsibilities Designing, implementing, and operating security services including PKI, secret management, and secure software development lifecycle tools. Deploying and maintaining secure, scalable, and resilient software platforms to meet the security needs of our engineering teams. Troubleshooting and resolving operational issues, collaborating closely with cross functional teams and customers. Proactively identifying and suggesting improvements to our infrastructure, security practices, and operational processes. Qualifications Proficiency in programming with a strong command of at least one language, with Python and C# preferred. Strong experience with DevOps practices such as CI/CD pipelines (e.g., Jenkins and GitLab), Infrastructure as Code (e.g., Terraform and Ansible), and observability tools (e.g., Prometheus, ELK, and Grafana). Familiarity with containerisation and orchestration technologies such as Docker or Kubernetes, cloud platforms such as AWS, Azure, and Google Cloud, and a solid understanding of Linux environments. Interest in solving security problems with experience in one or more of the following areas: Public Key Infrastructure (PKI), secret management, and secure SDLC. Excellent problem solving and analytical skills with the ability to work directly with engineers and stakeholders to troubleshoot and resolve complex technical challenges. A quick learner who is proactive, self motivated, and has strong communication skills. The ability to work independently while being a collaborative team player. Benefits Highly competitive compensation plus an annual discretionary bonus. Lunch provided (via Just Eat for Business) and a dedicated barista bar. 30 days' annual leave. 9% company pension contributions. Informal dress code and an excellent work/life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. EEO Statement G Research is committed to cultivating and preserving an inclusive work environment. We place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.
30/05/2026
Full time
Role Overview We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. 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 security role is at the heart of everything we do at G Research. We believe every engineer should have the tools to make smart security decisions throughout the development lifecycle, from writing code to deployment. As part of our DevSecOps team, you will support our engineers and secure our applications, infrastructure, and services while ensuring productivity and efficiency. Key Responsibilities Designing, implementing, and operating security services including PKI, secret management, and secure software development lifecycle tools. Deploying and maintaining secure, scalable, and resilient software platforms to meet the security needs of our engineering teams. Troubleshooting and resolving operational issues, collaborating closely with cross functional teams and customers. Proactively identifying and suggesting improvements to our infrastructure, security practices, and operational processes. Qualifications Proficiency in programming with a strong command of at least one language, with Python and C# preferred. Strong experience with DevOps practices such as CI/CD pipelines (e.g., Jenkins and GitLab), Infrastructure as Code (e.g., Terraform and Ansible), and observability tools (e.g., Prometheus, ELK, and Grafana). Familiarity with containerisation and orchestration technologies such as Docker or Kubernetes, cloud platforms such as AWS, Azure, and Google Cloud, and a solid understanding of Linux environments. Interest in solving security problems with experience in one or more of the following areas: Public Key Infrastructure (PKI), secret management, and secure SDLC. Excellent problem solving and analytical skills with the ability to work directly with engineers and stakeholders to troubleshoot and resolve complex technical challenges. A quick learner who is proactive, self motivated, and has strong communication skills. The ability to work independently while being a collaborative team player. Benefits Highly competitive compensation plus an annual discretionary bonus. Lunch provided (via Just Eat for Business) and a dedicated barista bar. 30 days' annual leave. 9% company pension contributions. Informal dress code and an excellent work/life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. EEO Statement G Research is committed to cultivating and preserving an inclusive work environment. We place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.
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. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career. The role Our engineering teams build and operate platforms and products that underpin research, modelling and client trading. These systems are performance critical, highly available and continuously evolving. Security issues are identified through testing, audit, operational learning and threat intelligence. Addressing them effectively requires engineers who can work directly within product and platform teams, understand systems in depth and deliver fixes as part of normal development workflows. The embedded Security Engineering team exists to make that happen. As a Security Engineer in the team, you will embed within delivery teams, learn their codebases and architectures and take responsibility for designing and implementing robust security fixes in production systems. This includes writing production quality code, participating fully in planning and delivery and ensuring solutions align with performance and reliability requirements. Beyond fixing individual issues, you will help identify recurring patterns, drive improvements that reduce systemic risk and leave teams better equipped to build and operate secure systems over time. This role carries significant responsibility and autonomy, requiring sound technical judgement and the ability to work effectively in a collaborative, consensus driven engineering environment. Key responsibilities Embedding with product or platform teams to design and implement fixes for identified security issues Learning unfamiliar systems and codebases quickly, contributing effectively to existing delivery processes Writing high quality, maintainable code that addresses security issues without introducing unnecessary complexity or performance regression Owning security work from investigation through to delivery and follow up Ensuring fixes are understood, tested and safely deployed Identifying patterns in security issues and contributing to broader improvements where appropriate Collaborating with experienced engineers to reach well reasoned solutions, incorporating feedback and differing perspectives Communicating clearly about issues, solutions and trade offs with engineers and stakeholders Acting as a role model for pragmatic, delivery focused security engineering Qualifications Strong experience delivering production code in complex software systems Deep understanding of security concepts and common failure modes in modern infrastructure and applications A proven ability to learn unfamiliar technology stacks quickly and work effectively within them Experience fixing security issues in existing systems, rather than only identifying or advising on them Good engineering judgement, including the ability to balance security, performance, reliability and delivery constraints A proven ability to work productively with other deeply technical engineers, contributing to decisions through reasoning, evidence and delivery Clear communication skills and a pragmatic, collaborative mindset Benefits 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 G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section. At G Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
30/05/2026
Full time
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. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career. The role Our engineering teams build and operate platforms and products that underpin research, modelling and client trading. These systems are performance critical, highly available and continuously evolving. Security issues are identified through testing, audit, operational learning and threat intelligence. Addressing them effectively requires engineers who can work directly within product and platform teams, understand systems in depth and deliver fixes as part of normal development workflows. The embedded Security Engineering team exists to make that happen. As a Security Engineer in the team, you will embed within delivery teams, learn their codebases and architectures and take responsibility for designing and implementing robust security fixes in production systems. This includes writing production quality code, participating fully in planning and delivery and ensuring solutions align with performance and reliability requirements. Beyond fixing individual issues, you will help identify recurring patterns, drive improvements that reduce systemic risk and leave teams better equipped to build and operate secure systems over time. This role carries significant responsibility and autonomy, requiring sound technical judgement and the ability to work effectively in a collaborative, consensus driven engineering environment. Key responsibilities Embedding with product or platform teams to design and implement fixes for identified security issues Learning unfamiliar systems and codebases quickly, contributing effectively to existing delivery processes Writing high quality, maintainable code that addresses security issues without introducing unnecessary complexity or performance regression Owning security work from investigation through to delivery and follow up Ensuring fixes are understood, tested and safely deployed Identifying patterns in security issues and contributing to broader improvements where appropriate Collaborating with experienced engineers to reach well reasoned solutions, incorporating feedback and differing perspectives Communicating clearly about issues, solutions and trade offs with engineers and stakeholders Acting as a role model for pragmatic, delivery focused security engineering Qualifications Strong experience delivering production code in complex software systems Deep understanding of security concepts and common failure modes in modern infrastructure and applications A proven ability to learn unfamiliar technology stacks quickly and work effectively within them Experience fixing security issues in existing systems, rather than only identifying or advising on them Good engineering judgement, including the ability to balance security, performance, reliability and delivery constraints A proven ability to work productively with other deeply technical engineers, contributing to decisions through reasoning, evidence and delivery Clear communication skills and a pragmatic, collaborative mindset Benefits 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 G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section. At G Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
Role Overview We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity, building a world class platform as part of G Research. As a Principal AI Security Engineer you will provide firm wide technical leadership for AI security across the full lifecycle, reporting to the Head of Security and acting as the senior technical authority across research engineering, platform engineering, security and risk teams. You will shape technical direction, define design patterns, and influence firm wide decisions on AI risk, resilience and governance. Key Responsibilities AI system security leadership Define and drive the firm wide approach to securing AI systems across the model lifecycle. Identify systemic AI specific risks, including model integrity, prompt injection and misuse. Establish secure design principles that enable experimentation while maintaining strong controls. Securing AI enabled engineering and autonomy Provide technical leadership on securing AI assisted development and autonomous workflows. Define guardrails, integrity controls and standards for integrating AI services into engineering and operational platforms. Identity, Integrity and Logging Design robust identity and access models for AI systems, including service authentication and role based restrictions. Ensure integrity of models, data and pipelines with strong logging and audit mechanisms. Cross functional influence and governance Work with senior stakeholders across engineering, security, research and risk to translate AI risks into actionable controls. Contribute to firm wide AI governance, risk and control strategy. Technical depth and hands on contribution Lead design reviews, threat modelling and targeted implementation for critical AI initiatives. Raise technical standards and mentor senior engineers on AI related security challenges. Qualifications Securing large scale software or ML systems in production. Expertise in AI or ML security, including model integrity, adversarial threats and supply chain risk. Strong understanding of modern ML architectures, training workflows and inference infrastructure. Excellent engineering fundamentals with the ability to engage with complex systems and code. Proven ability to influence technical direction through collaboration and evidence. Benefits 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.
30/05/2026
Full time
Role Overview We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity, building a world class platform as part of G Research. As a Principal AI Security Engineer you will provide firm wide technical leadership for AI security across the full lifecycle, reporting to the Head of Security and acting as the senior technical authority across research engineering, platform engineering, security and risk teams. You will shape technical direction, define design patterns, and influence firm wide decisions on AI risk, resilience and governance. Key Responsibilities AI system security leadership Define and drive the firm wide approach to securing AI systems across the model lifecycle. Identify systemic AI specific risks, including model integrity, prompt injection and misuse. Establish secure design principles that enable experimentation while maintaining strong controls. Securing AI enabled engineering and autonomy Provide technical leadership on securing AI assisted development and autonomous workflows. Define guardrails, integrity controls and standards for integrating AI services into engineering and operational platforms. Identity, Integrity and Logging Design robust identity and access models for AI systems, including service authentication and role based restrictions. Ensure integrity of models, data and pipelines with strong logging and audit mechanisms. Cross functional influence and governance Work with senior stakeholders across engineering, security, research and risk to translate AI risks into actionable controls. Contribute to firm wide AI governance, risk and control strategy. Technical depth and hands on contribution Lead design reviews, threat modelling and targeted implementation for critical AI initiatives. Raise technical standards and mentor senior engineers on AI related security challenges. Qualifications Securing large scale software or ML systems in production. Expertise in AI or ML security, including model integrity, adversarial threats and supply chain risk. Strong understanding of modern ML architectures, training workflows and inference infrastructure. Excellent engineering fundamentals with the ability to engage with complex systems and code. Proven ability to influence technical direction through collaboration and evidence. Benefits 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.
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. We are looking for an experienced Development Manager to lead two strategically important engineering groups within Enterprise Infrastructure (EI): Security Automation Engineering (SAE) - the development arm of the Cyber Security Incident Response Team (CSIRT), responsible for building automated detection and response systems; Enterprise Infrastructure Application Development (EIDev) - a new and growing team responsible for building secure, scalable applications and services for G Research's corporate domain. This is a high impact leadership role that spans security engineering, corporate application development, infrastructure modernisation and core platform transformation. You will manage multidisciplinary engineering teams, define long term technical strategy and drive delivery across critical programmes including the migration of legacy applications and the design and deployment of new systems for our next generation secure corporate environment. You will partner closely with security, corporate infrastructure, cloud engineering and the wider EI organisation to ensure the systems we design are robust, scalable, secure and aligned to strategic corporate goals. As Development Manager, you will set engineering standards, establish delivery processes, develop people and build a culture of high performance, trust, ownership and continuous improvement. Key Responsibilities Leadership and strategy: Providing strategic and technical leadership across SAE and EIDev, setting long term direction for corporate applications, CI/CD, Kubernetes and automation. Ownership of team structure, growth planning, hiring and performance development. Engineering culture: Building a strong engineering culture focused on secure design, high standards and continuous improvement. Delivery and architecture: Overseeing the design and delivery of secure, scalable applications for the new corporate domain; defining CI/CD patterns, deployment architectures and modernisation strategies across on premise and AWS environments; driving legacy application migration, architectural governance and technical debt reduction. Automated detection & response capabilities: Leading SAE initiatives, integrating with Elastic Security, Azure DefenderXDR and AWS SecurityHub. Supporting the wider EI organisation: Collaborating with infrastructure, networking, identity and cloud teams to deliver the secure corporate domain. Operational and cross team responsibilities: Establishing delivery processes, sprint cadences, reporting and partnership with CSIRT, Corporate Engineering, Infrastructure and Cloud teams; managing vendors and representing EIDev and SAE in cross functional and technical forums. Systems integration: Ensuring delivery of secure, well documented systems that integrate cleanly into G Research's technology estate. Ideal Candidate Technical experience: Proven delivery of production grade applications and platforms; strong understanding of secure engineering principles, modern application architectures and cloud native design; hands on experience with Kubernetes, CI/CD pipelines and GitOps practices across on premise and AWS environments; experience modernising legacy systems and leading application refactoring initiatives; familiarity with Python, TypeScript or other modern languages. Leadership and delivery skills: Demonstrated experience leading engineering teams, developing individuals and shaping strong team culture; ability to balance long term architectural direction with near term delivery demands; strong communication skills enabling influence across technical and non technical stakeholders; experience driving multi team initiatives in complex environments with a bias for ownership, action and continuous improvement. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and a dedicated barista bar. 30 days of 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. Equal Employment Opportunity G Research is committed to cultivating and preserving an inclusive work environment and ensuring a recruitment experience that enables applicants to perform at their best.
30/05/2026
Full time
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. We are looking for an experienced Development Manager to lead two strategically important engineering groups within Enterprise Infrastructure (EI): Security Automation Engineering (SAE) - the development arm of the Cyber Security Incident Response Team (CSIRT), responsible for building automated detection and response systems; Enterprise Infrastructure Application Development (EIDev) - a new and growing team responsible for building secure, scalable applications and services for G Research's corporate domain. This is a high impact leadership role that spans security engineering, corporate application development, infrastructure modernisation and core platform transformation. You will manage multidisciplinary engineering teams, define long term technical strategy and drive delivery across critical programmes including the migration of legacy applications and the design and deployment of new systems for our next generation secure corporate environment. You will partner closely with security, corporate infrastructure, cloud engineering and the wider EI organisation to ensure the systems we design are robust, scalable, secure and aligned to strategic corporate goals. As Development Manager, you will set engineering standards, establish delivery processes, develop people and build a culture of high performance, trust, ownership and continuous improvement. Key Responsibilities Leadership and strategy: Providing strategic and technical leadership across SAE and EIDev, setting long term direction for corporate applications, CI/CD, Kubernetes and automation. Ownership of team structure, growth planning, hiring and performance development. Engineering culture: Building a strong engineering culture focused on secure design, high standards and continuous improvement. Delivery and architecture: Overseeing the design and delivery of secure, scalable applications for the new corporate domain; defining CI/CD patterns, deployment architectures and modernisation strategies across on premise and AWS environments; driving legacy application migration, architectural governance and technical debt reduction. Automated detection & response capabilities: Leading SAE initiatives, integrating with Elastic Security, Azure DefenderXDR and AWS SecurityHub. Supporting the wider EI organisation: Collaborating with infrastructure, networking, identity and cloud teams to deliver the secure corporate domain. Operational and cross team responsibilities: Establishing delivery processes, sprint cadences, reporting and partnership with CSIRT, Corporate Engineering, Infrastructure and Cloud teams; managing vendors and representing EIDev and SAE in cross functional and technical forums. Systems integration: Ensuring delivery of secure, well documented systems that integrate cleanly into G Research's technology estate. Ideal Candidate Technical experience: Proven delivery of production grade applications and platforms; strong understanding of secure engineering principles, modern application architectures and cloud native design; hands on experience with Kubernetes, CI/CD pipelines and GitOps practices across on premise and AWS environments; experience modernising legacy systems and leading application refactoring initiatives; familiarity with Python, TypeScript or other modern languages. Leadership and delivery skills: Demonstrated experience leading engineering teams, developing individuals and shaping strong team culture; ability to balance long term architectural direction with near term delivery demands; strong communication skills enabling influence across technical and non technical stakeholders; experience driving multi team initiatives in complex environments with a bias for ownership, action and continuous improvement. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and a dedicated barista bar. 30 days of 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. Equal Employment Opportunity G Research is committed to cultivating and preserving an inclusive work environment and ensuring a recruitment experience that enables applicants to perform at their best.
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. Take the next step in your career. The role We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting edge of machine learning. You will work closely with a wide range of internal G Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts. You will collaborate across disciplines on a broad set of initiatives to help G Research leverage the next generation of machine learning technologies. Past projects have included: Evaluating alternative accelerators for ML workloads Multi-node distributed training to understand trade offs in networking technology Optimising model inference to minimise latency or maximise throughput Understanding and optimising different storage technology to maximise bandwidth Evaluating the latest hardware and software in the machine learning ecosystem Liaising with vendors and providing constructive feedback on their products and roadmaps Who are we looking for? You will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing. The ideal candidate will have the following skills and experience: A postgraduate degree in ML or a related field, or bringing commercial experience building ML models at scale (we will also consider exceptional candidates with demonstrable track record of success in online data science competitions, such as Kaggle) Strong object oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model inference expertise; you do not need to have all of the above A passion for the latest ML and HPC trends, with genuine curiosity and enthusiasm Excellent communication skills with the ability to work independently, engage with vendors, explore new technologies and present results effectively to stakeholder Choose the right level of abstraction, using quick one off scripts for proofs of concept or designing more complex systems when needed Finance experience is not necessary for this role and candidates from non financial backgrounds are encouraged to apply. Benefits 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 G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
30/05/2026
Full time
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. Take the next step in your career. The role We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting edge of machine learning. You will work closely with a wide range of internal G Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts. You will collaborate across disciplines on a broad set of initiatives to help G Research leverage the next generation of machine learning technologies. Past projects have included: Evaluating alternative accelerators for ML workloads Multi-node distributed training to understand trade offs in networking technology Optimising model inference to minimise latency or maximise throughput Understanding and optimising different storage technology to maximise bandwidth Evaluating the latest hardware and software in the machine learning ecosystem Liaising with vendors and providing constructive feedback on their products and roadmaps Who are we looking for? You will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing. The ideal candidate will have the following skills and experience: A postgraduate degree in ML or a related field, or bringing commercial experience building ML models at scale (we will also consider exceptional candidates with demonstrable track record of success in online data science competitions, such as Kaggle) Strong object oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model inference expertise; you do not need to have all of the above A passion for the latest ML and HPC trends, with genuine curiosity and enthusiasm Excellent communication skills with the ability to work independently, engage with vendors, explore new technologies and present results effectively to stakeholder Choose the right level of abstraction, using quick one off scripts for proofs of concept or designing more complex systems when needed Finance experience is not necessary for this role and candidates from non financial backgrounds are encouraged to apply. Benefits 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 G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.