Top Tech Jobs & Startup Jobs in London

Leads enterprise proxy, perimeter, and SSE/SASE security engineering across US operations. Designs and operates Zero Trust, identity-aware proxy, secure gateway, egress, segmentation, and cloud interconnect architectures. Owns roadmap execution, governance, remediation, lifecycle modernization, incident management, observability, and resiliency. Supervises engineers, establishes reusable security patterns, coordinates cross-functional delivery, and promotes secure, responsible AI-assisted engineering practices.

Leads technology and cyber risk management for financial markets platforms. Responsibilities include conducting technical risk deep dives, assessing and monitoring risks, designing and testing controls, reviewing architectures, validating evidence from logs and configurations, identifying attack paths through threat modeling, documenting deficiencies, and advising stakeholders on mitigation strategies and regulatory compliance.

Partners with Markets Technology leadership to solve cross-functional business challenges, conduct quantitative and qualitative analysis, and develop executive-ready presentations and recommendations. Tracks technology investments, resourcing, risks, dependencies, KPIs, organizational health, and planning data. Collaborates with Finance, HR, Risk & Control, and technology teams, supports senior leadership forums, and researches industry and technology trends to inform strategy.

Supports trade attribution, client book of record data integrity, reconciliations, exception resolution, and client reporting across investment portfolios. Performs data quality controls, investigates trade discrepancies, explains allocation and lifecycle outcomes, maintains procedures, and produces recurring and ad hoc reporting. Partners with trading, operations, technology, business management, and sales teams to remediate issues, improve processes, and support automation.

Design, build, deploy, and operate systematic interest rate swaps trading systems covering pricing, risk projection, hedging, and execution. Develop research infrastructure, backtesting and simulation tools, quantitative models, signal pipelines, and analytics over large datasets. Analyze trading data, improve strategies, support live trading, resolve incidents, and enhance monitoring and controls.

Develop and deploy AI and machine learning solutions for workforce analytics. Conduct statistical analyses, experiments, and model evaluations; build scalable model factories and evaluation frameworks; apply generative AI and agentic development approaches; collaborate with business, product, and technology teams; communicate insights; and ensure compliance with risk, control, and governance requirements.

Leads development of a wealth management portfolio insights platform serving advisor and account data. Designs secure Java, Spring Boot, and Python services across ingestion, reconciliation, and serving layers; works with AWS, Kafka, relational databases, and cloud-native infrastructure. Drives architecture, code quality, resiliency, automation, AI-assisted engineering practices, and resolution of complex production data-consistency issues.

Lead complex, cross-functional global equities and prime projects from conception through execution. Responsibilities include developing integrated program plans, managing resources and milestones, overseeing governance, communicating with senior stakeholders, managing risks and controls, and delivering high-visibility strategic initiatives. The role requires financial services and financial markets knowledge, strong project governance, stakeholder management, communication, and organizational skills. Preferred experience includes equities, derivatives, operations, post-trade processes, artificial intelligence, and automation.

Execute and document CCOR internal audit engagements across EMEA, assess compliance and operational risk controls, finalize findings, develop recommendations, and communicate results to senior management. Collaborate with global audit, technology, and data analytics teams while monitoring regulatory developments, emerging risks, and control effectiveness. Protect confidential information and maintain strong stakeholder relationships.

Leads a global AI and data science organization focused on workforce analytics. Sets technical strategy, directs research from hypothesis through production, develops model and evaluation factories, advances responsible agentic AI, and translates models into business and employee insights. Partners with technology teams on scalable platforms, prioritizes investments, communicates with senior leaders, and ensures compliance in a regulated enterprise environment.