Top Tech Jobs & Startup Jobs in London

Translate business and regulatory requirements into reference data models, datasets, data quality rules, workflows, and documentation. Partner with architects and stakeholders across Trading, Compliance, Operations, and Research. Serve as a subject matter expert on equity and ETF reference data, corporate actions, identifiers, lifecycle processing, and downstream impacts. Support data interrogation using SQL and contribute to system delivery, data dictionaries, entity relationship diagrams, requirements specifications, and exception-management metrics.

Five- to six-month data engineering internship supporting quantitative research and trading platforms. The intern may work on data acquisition, large-scale datasets, data stores, APIs, production datasets, and real-time or batch data infrastructure. Responsibilities emphasize reliability, performance, scalability, and collaboration with researchers, traders, and engineers. Candidates should have computer science fundamentals, Python experience, structured problem-solving skills, and clear communication. SQL or NoSQL knowledge, front-end experience, and financial markets interest are preferred.

Leads QRT’s global identity and access security capability, including IAM/IGA strategy, PAM, secrets management, authentication, authorization, access governance, and least-privilege programs. The role oversees Active Directory, cloud, application, infrastructure, production, and trading-environment access, while managing the IAM team, vendors, roadmaps, audits, incidents, and security improvements.

Build and maintain reliable financial datasets for quantitative researchers and traders. Responsibilities include extracting, cleaning, aggregating, and onboarding data from diverse sources; developing robust extraction processes; investigating data quality issues; and improving onboarding tools. The role requires close collaboration with researchers, traders, engineers, management, and external data providers in a fast-paced quantitative investment environment.

Develop and optimize high-frequency, low-latency cryptocurrency trading systems. Implement alpha and trading algorithms, encode market-specific rules, and collaborate with traders and quantitative researchers to build efficient research platforms and tools. The role requires robust C++ development on Linux, cloud-based HPC familiarity, Python skills, technical problem-solving, and effective communication in an international environment.

Provides deep technical leadership for QRT’s global trading and enterprise networks. Leads complex investigations involving performance, latency, resilience, and operations; serves as a senior escalation point; translates architecture standards into automation, validation, documentation, and runbooks; supports migrations and technical improvements; evaluates technologies; develops instrumentation; and mentors network engineers.

Leads QRT’s trading and enterprise network function through Network Team Leads. Owns network strategy, people development, priorities, project delivery, operations, risk management, architecture standards, stakeholder communication, and continuous improvement across multiple teams and sites. Ensures scalable, consistent, supportable network services aligned with business needs, while serving as the senior escalation point for operational, delivery, and people-related issues.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Manage and evolve Linux platforms for global trading, lead automation frameworks, ensure performance, and support build/release management.

Support day-to-day operations of on-prem compute infrastructure, handle diagnostics, troubleshoot Linux systems, and participate in maintenance activities for HPC and Kubernetes environments.