Top Tech Jobs & Startup Jobs

The Talent Sourcer will identify and engage technical talent, build candidate pipelines, attend networking events, and support the hiring process.

As a Quantitative Developer, you will engineer high-quality software, collaborate with researchers on trading and modeling systems, and optimize performance in financial markets.

Design, build, and evolve production-grade trading platforms and data-serving services. Optimize performance, throughput, and efficiency at scale while improving reliability, testing, automation, code quality, and observability. Participate in production support rotations, troubleshoot incidents, and drive operational improvements across distributed data systems.

Optimize large-scale machine learning workloads across GPU and CPU infrastructure. Profile, benchmark, and tune distributed training and inference jobs; eliminate bottlenecks; develop reference implementations, libraries, and performance tools; and collaborate with research, infrastructure, architecture, and platform teams to improve compute systems and guide long-term platform decisions.

10-week on-site Data Science internship in London supporting data discovery, enrichment and analysis for quantitative research. Tasks include data blending, statistical analysis, exploratory data analysis, visualization, building tooling, and collaborating with data scientists to scale and automate data processes.

10-week summer ML research internship based in Central London. Work on a supervised research project using advanced ML methods, mentored by senior researchers, with access to large compute, culminating in a final presentation. Top performers considered for full-time roles.

10-week London-based summer research internship applying mathematical modelling, ML/deep learning, optimisation and back-testing to extract predictive signals from financial time-series. Interns complete an independent research project with mentorship, present findings to senior management, and may be considered for full-time roles.

Own large-scale LLM inference performance: profile, benchmark and optimise inference workloads across GPU architectures; design and implement inference optimisations, reference implementations and tooling; collaborate with researchers and platform teams to deploy efficient, cost-effective NLP solutions.

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.

Own and evolve enterprise IAM platforms: design and operate authentication, identity federation, credential and privileged access solutions. Build SAML/OAuth2/OpenID Connect onboarding, rationalise identity providers, implement Teleport/JIT privileged access, define service account and certificate standards, build APIs and automation, and improve monitoring, logging, and operational maturity while partnering with engineering teams to migrate bespoke systems to standards-based IAM.