Top Tech Jobs & Startup Jobs in London

Build and improve high-throughput data infrastructure processing billions of market data points daily. Solve distributed-systems challenges, collaborate with quantitative researchers and traders, improve platform reliability, perform incident response and root-cause analysis, and contribute through code reviews and mentoring. The role uses Python and Java alongside Kafka, ArcticDB, Airflow, Spark, and database technologies at multi-petabyte scale.

Supports talent acquisition activities under senior guidance, including candidate sourcing, outreach, CV screening, interview scheduling, ATS data management, reporting, hiring-manager collaboration, and diversity-focused recruiting. The role develops foundational recruitment skills while helping build candidate pipelines, maintain positive candidate experiences, and reduce agency reliance. This is a fixed-term contract role, with the description stating 24 months despite the title referencing 12 months.

Leads global finance operations covering purchase-to-pay, cost allocation, fund recharges, financial controls, and month-end support. Establishes operating models, manages an international team, ensures accurate and compliant transaction processing, strengthens controls, and partners with stakeholders and suppliers. Drives standardization, automation, responsible AI adoption, service improvement, and operational scalability while maintaining audit-ready records and effective financial reporting support.

Leads Man Group’s commercial finance function, integrating finance business partnering and procurement. Owns budgeting, forecasting, cost management, management information, strategic sourcing, supplier management, and cost governance. Partners with senior leaders on resource allocation, business cases, and performance insights; builds and develops high-performing teams; and drives process improvement, automation, AI adoption, and stronger data infrastructure.

Provide first- and second-line technical support for Windows, macOS, VDI, mobile devices, software, hardware, and connectivity issues. Perform root cause analysis, resolve recurring incidents, support VIP users, coordinate escalations with engineering teams, and participate in on-call coverage. The role also develops documentation, workflows, automation, and process improvements while contributing to projects and service enhancement initiatives.

Own the end-to-end security architecture and technical direction for internal applications, platforms, AI agents, identity, authorization, and secrets management. Define Zero Trust and least-privilege access strategies, design policy engines and platform APIs, document architectural decisions, build prototypes, review code, mentor engineers, and collaborate across security, infrastructure, AI, and developer teams. Support monitoring, auditing, threat modeling, regulatory work, and clear communication of security risks.

Conduct quantitative investment research for multi-strategy funds, improving portfolios and developing alpha combination, allocation, and portfolio construction methods. Manage portfolio risk and day-to-day investments while collaborating with quantitative researchers, technologists, traders, and senior business stakeholders. Analyze large datasets and apply statistics, machine learning, portfolio construction, and risk modeling techniques to support AHL’s systematic investment strategies.

Design, implement, operate, and support enterprise storage and backup platforms across on-premises and cloud environments. Maintain availability, performance, and capacity; develop automation, monitoring, and capacity-management tools using scripting, open-source technologies, and infrastructure as code. Collaborate with infrastructure, database, development, and research teams, deliver storage projects, troubleshoot issues, and resolve root causes.

Conduct original quantitative research on global macro assets, developing and testing alpha signals for systematic trend and directional trading strategies. Model rates, FX, equities, and commodities using statistical and mathematical methods; contribute to portfolio construction and risk analysis; monitor live performance; and refine research hypotheses. The role involves the full research lifecycle, collaboration with researchers, technologists, and portfolio managers, and direct exposure to strategy management.

Develop and support enterprise data platforms using Python, SQL Server, Oracle, ETL, and business intelligence technologies. Build greenfield data-centric solutions, create dimensional data models, optimize queries, support dashboards, and collaborate with Operations, Risk, Finance, and investment-engineering teams. The role also requires translating complex business requirements, participating in Agile delivery and code reviews, supporting CI/CD, and embracing AI-enabled development.