Top Tech Jobs & Startup Jobs in London

Lead product strategy and roadmap for post-trade technology, oversee full product lifecycle, manage global teams, drive large-scale platform delivery, ensure controls for payments supporting equities and prime, mentor product teams, and engage stakeholders to achieve business growth and risk objectives.

Support IRRBB and FTP analytics for the CIB by building automation, reports, dashboards and quantitative tools. Validate modeling assumptions, produce executive-ready analytics, respond to treasury and LOB queries, strengthen governance and documentation, and support audits, model governance and regulatory requests.

Lead complex, cross-functional data and analytics technology programs using agile practices. Create and maintain program plans, manage execution in JIRA/Confluence, mitigate risks and dependencies, engage stakeholders, guide technical solutioning (Databricks, Snowflake, AWS data services), and deliver status updates while driving process improvements and governance across enterprise-scale data platforms.

Build AI/ML-driven analytics and automation for CIB Treasury, Securities Services and Payments. Develop scalable data architecture, automate manual processes, create sequential decision-making tools to optimize net interest income, drive projects end-to-end from prototype to production, present commercial recommendations to stakeholders, and collaborate across Quant Research, Treasury, CIO, Technology and CDAO.

Lead design and delivery of applied AI/ML solutions for data management and governance. Build prototypes, collaborate with business and engineering teams, document models and experiments, present results to stakeholders, and adopt emerging LLM/ML techniques to drive transformation.

Build and maintain Novas core Python frameworks and calculation engine for loan-loss forecasting (CECL, IFRS9, CCAR). Implement high-performance numerical algorithms (NumPy, Pandas, DuckDB), champion TDD, translate stakeholder needs into production-quality designs, perform code reviews, debug model forecasts, and document technical decisions while collaborating with researchers, governance, and business teams.

Support delivery of martech initiatives across markets: define feature details, create user stories, manage Agile ceremonies and UAT, monitor KPIs, drive adoption, document releases, and partner with controls, engineering, data, and marketing to ensure regulated-compliant solutions.

Lead and mentor engineering teams to design, build, test, and operate secure, cloud-native applications. Drive technical decisions, produce high-quality Java/React code, advocate SDLC best practices, and ensure operational resiliency and delivery.

Lead development of cloud-native Python applications for global commodities trading desks. Design, build, test, and operate resilient, secure production systems; drive automation and CI/CD; evaluate vendor solutions; and mentor engineering communities of practice.

Lead development and management of agentic AI workbench and control environment, drive integration, deployment, and optimization of agent-led workflows, partner with architecture and engineering, manage risk and KPIs, support stakeholder adoption, and mentor team members to deliver measurable business value across Client360.