Top Tech Jobs & Startup Jobs in London

Conduct research and quantitative analysis across wholesale financial markets using large regulatory datasets, including transaction-level trading and derivatives data. Develop reproducible analytical code, identify market risks, evaluate regulatory outcomes, and produce evidence-based insights for policy and supervision teams. Collaborate with market experts and stakeholders, communicate complex findings clearly, and contribute to both ongoing research projects and time-sensitive market analysis.

Lead coordinated responses to cyber, insider, physical access, nation-state, organized crime, and travel security threats. The role manages intelligence gathering and risk assessments, advises senior leadership, collaborates with government and law enforcement partners, develops security policies and controls, supports insider risk programs, and delivers security awareness training. The specialist will also provide travel security advice and contribute to strategic security decisions across the organization.

Leads incident response for operational resilience incidents and cyber-attacks affecting regulated financial firms. Responsibilities include incident triage, stakeholder coordination, supervisory action, senior leadership reporting, team coaching, incident analysis, resilience exercises, governance, industry engagement, and advising on emerging risks such as frontier AI. The role requires financial-sector experience, cyber and operational resilience expertise, risk-based decision-making, and familiarity with COBIT, NIST, and ITIL.

Provides hands-on technical leadership for an AI product delivery pod, translating product outcomes into secure, scalable, production-ready solutions. Leads internal and supplier engineers, oversees architecture, design and code reviews, establishes engineering standards, and selects appropriate AI approaches. Designs governed systems with auditability, provenance, human oversight and operational readiness, while mentoring teams and presenting technical progress to senior stakeholders.

Produces regular people reporting, analyzes workforce data, responds to insight requests, performs data quality checks, and supports dashboards and data governance. The role translates HR data into clear insights for non-technical stakeholders, collaborates with HR Systems and People teams, and contributes to improved reporting processes and strategic workforce decisions.

Supervise UK benchmark administrators, build regulatory relationships, challenge governance and risk practices, assess emerging market risks, and deliver proportionate interventions. The role leads supervisory initiatives, engages senior stakeholders, collaborates with UK and international regulators, informs regulatory decisions, and contributes specialist expertise to financial benchmark oversight and market integrity.

Leads supervisory projects involving financial promotions, cryptoassets, non-mainstream investments, and emerging market risks. Performs complex risk analysis, evaluates potential consumer harm, develops evidence-based regulatory interventions, and collaborates across the FCA to improve market outcomes. The role also coaches colleagues, influences stakeholders, manages competing priorities, and supports strategic risk and project portfolio activities.

Supports and administers Workday and related HR systems, resolving user issues, maintaining system configuration and documentation, managing HR data quality, processing EIB data loads, and supporting integrations. The role contributes to testing, releases, enhancements, governance, reporting, and continuous improvement while collaborating with HR, Payroll, IT, suppliers, and wider stakeholders.

Lead the vision, strategy, roadmap, lifecycle, performance, and budget for a complex graph analytics product. Coordinate multidisciplinary, platform, and engineering teams while balancing user needs, regulatory outcomes, technical risks, costs, security, privacy, and operational resilience. Apply graph technology expertise to evaluate data models, architecture, scalability, and analytical value. Use user research, Agile and Lean practices, evidence-based prioritization, and performance measures to drive adoption, continuous improvement, and informed lifecycle decisions.

Leads the FCA’s Agentic AI and Data Science Research function, setting AI strategy, governance, research ethics, data science standards, and long-term capability roadmaps. The role directs horizon scanning, responsible AI adoption, model assurance, and advanced analytics initiatives supporting regulation, financial crime reduction, and organisational effectiveness. It provides senior technical advice, leads multidisciplinary teams, develops talent, and influences executive, board, regulatory, and technology stakeholders.