Top Tech Jobs & Startup Jobs in London

Evaluate and onboard macro financial datasets for quantitative research and trading. Assess data coverage, quality, consistency, APIs, and delivery mechanisms; develop Python tools and pipelines to extract, clean, normalize, and analyze data; investigate discrepancies across providers; improve dataset quality; and collaborate with researchers, traders, vendors, and engineering teams to automate reliable data integration.

Designs, implements, governs, and modernizes enterprise PKI services, including CA hierarchies, HSM integration, certificate lifecycle automation, machine identity management, trust models, disaster recovery, and operational controls. Serves as the primary PKI subject matter expert, advising engineering, cloud, security, risk, audit, and operational teams while leading PKI programs and transformations.

Develop and maintain C#/.NET applications and infrastructure for real-time data delivery across trading, risk, compliance, and operations. Build scalable data flows, optimize architecture and memory usage, investigate production performance issues, and improve system reliability. Contribute to React and TypeScript user interfaces while collaborating with technical and business stakeholders on trading and operational workflows.

Design, build, and operate distributed software and data platforms supporting quantitative research across cloud and on-premises environments. The role focuses on reliable, efficient data access for large-scale compute workloads, data movement, performance, security, observability, and resilience. Responsibilities include developing services and tooling, collaborating with researchers and engineers, and owning systems from design through production operations.

Architect, engineer, and oversee delivery of complex corporate, colocation, and ultra-low-latency trading networks. Responsibilities include lifecycle management of switching, firewalls, load balancers, telemetry, CMDB, and automation platforms; designing software-driven network solutions; managing WAN traffic prioritization and steering; collaborating with project teams and vendors; and maintaining expertise in emerging networking technologies.

Develop quantitative foundations for a risk and PnL management platform supporting trading across asset classes. Build risk models, scenarios, performance attribution, pricing integrations, and scalable analytics infrastructure. Collaborate with traders, quantitative researchers, pricing quants, and technology teams to translate requirements into production systems for real-time risk and performance management.

Lead Linux platform engineering for high-performance trading and research infrastructure. Responsibilities include workload scheduling, large-scale systems management, high-performance filesystem operations, software lifecycle management, kernel and network performance tuning, troubleshooting complex system issues, infrastructure automation, CI/CD, observability, and container orchestration. The role partners closely with research and infrastructure teams and provides technical leadership, strategic insights, and proof-of-concept evaluations.

Develop and maintain compliance technology systems focused on market surveillance, regulatory reporting, data pipelines, automated controls, and integrations. Translate business and compliance requirements into production solutions, troubleshoot technical issues, implement surveillance scenarios, manage testing and releases, and improve automation, performance, and reliability. Collaborate with compliance, technology, developers, stakeholders, and external vendors while supporting systems across the trading and order execution lifecycle.

Provide first-line data support to quantitative researchers and traders, troubleshoot data access and quality issues with data engineers, manage JIRA workflows, document data processes, onboard and train users, and help expand data coverage through live collection and backfills.

Designs and implements secure, scalable AWS architectures supporting quantitative research and large-scale data analysis. Collaborates with researchers, developers, and data scientists; automates infrastructure deployment and monitoring; optimizes performance, availability, reliability, and cost; troubleshoots complex cloud environments; and promotes AWS best practices across the specialist team.