G-Research

HQ
London
Total Offices: 2
1,039 Total Employees
Year Founded: 2001

G-Research Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers accidental death & dismemberment insurance

Offers life insurance

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers dependent care

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Utilizes a flexible work schedule

Provides free snacks and drinks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides military leave

Offers an Employee Assistance Program (EAP)

Recently posted jobs

17 Hours AgoSaved
In-Office
London, Greater London, England, GBR
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
Analyze large-scale post-trade data to review and refine client trading behaviour, implement performant C# production code, collaborate with research, engineering and front office, monitor real-world changes, and deliver medium-term strategic projects and urgent commercial improvements.
2 Days AgoSaved
In-Office
London, Greater London, England, GBR
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
Design and develop core components of a distributed storage platform in Rust. Build scalable, resilient systems for large data workloads, collaborate with researchers and engineers on data-access needs, optimize Kubernetes services, integrate Kafka and streaming technologies, and contribute to architecture, testing, code quality, and operational excellence.
2 Days AgoSaved
In-Office
London, Greater London, England, GBR
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
Design and develop core components of a distributed storage platform in Rust. Build scalable, resilient services for large data workloads, optimize systems running in Kubernetes, integrate Kafka-based event streaming, and contribute to distributed-systems architecture. Collaborate with researchers and engineers to understand data-access requirements while promoting testing, code quality, operational excellence, and clear technical communication.