Financial Conduct Authority

Systems Engineer

• Build and operate production-grade AI systems using foundation models, retrieval, tool-use and workflow services for regulatory challenges
• Own model and tool integration, retrieval and context assembly, provenance mechanisms, workflow orchestration, evaluation instrumentation and failure handling
• Develop retrieval-augmented generation capabilities, including context and retrieval pipelines, semantic search, structured outputs, evidence references and citation verification
• Design multi-step and agentic workflows with human review, approval, escalation and safe-failure mechanisms
• Implement controls for known AI failure modes and appropriate operational monitoring
• Build agentic orchestration covering planning and replanning, structured tool use, persistent state, semantic and episodic memory, agent hand-offs, execution limits, human interruption and recovery
• Partner with stakeholders to create evaluation datasets and automated testing frameworks
• Measure task success, retrieval quality, source support, robustness, latency, cost efficiency and regression performance
• Build resilience against prompt injection, unsafe tool use, access-control failure, data leakage, unsupported claims, retrieval failures and model or configuration degradation
• Collaborate with Platforms and Engineering, architecture, product and domain specialists across Authorisations, Supervision, Enforcement and AML
• Contribute to CI/CD, release management, runtime operations, engineering quality, supplier oversight, knowledge transfer and organisational capability building

Senior AI Systems Engineer

Artificial Intelligence

• Partner with the Business Product Owner and users to define or confirm problems, workflows, users, expected value, success measures, constraints and risk tiers
• Shape and manage the roadmap, backlog, discovery, prioritisation, sequencing, dependencies, release planning and delivery cadence
• Coordinate the pod, suppliers, control functions and business stakeholders through launch and stabilisation
• Manage blockers, risks and enterprise dependencies
• Ensure sustainable ownership, maintainable assets and effective knowledge transfer
• Define requirements for workflow integration, human decision roles, evidence, provenance, evaluation, support and service operation
• Define operating boundaries for agentic products, including autonomy levels, approved tools, data usage, human oversight and escalation pathways
• Ensure the Business Product Owner maintains the adoption and change plan
• Assemble product-readiness evidence and coordinate go-live and post-launch stabilisation
• Track product outcomes, adoption, quality, cost and operational performance
• Drive continuous improvement using evaluation findings and user feedback
• Maintain traceability of decisions, assumptions, approvals and lessons learned
• Contribute reusable delivery practices across the AI Product Delivery Department

AI Product Delivery Lead

Full-stack Engineer

• Lead the pod’s technical execution and translate product outcomes into implementable solutions
• Guide engineering decisions and maintain clear technical decision records
• Align delivery with FCA platform standards, enterprise constraints and long-term sustainability
• Shape technical foundations, engineering standards, reusable patterns and delivery approaches for AI products
• Translate product and operational requirements into scalable end-to-end solutions spanning user journeys, APIs, events, data flows, AI services and enterprise integrations
• Conduct technical design reviews, supplier engagement, code reviews, assurance activities and engineering oversight
• Mentor internal and supplier teams and promote knowledge transfer and sustainable code ownership
• Select appropriate approaches across deterministic software, workflow automation, retrieval systems, foundation models and agentic solutions
• Design governed systems combining deterministic services, workflow orchestration, agents, tools, memory and human approval
• Design for traceable evidence and provenance where required by risk tier
• Own integration with shared data, security and knowledge-architecture specialists
• Define technical readiness for resilience, performance, observability, support and incident handling
• Provide the technical readiness view for go-live
• Present progress and summaries to non-technical staff and senior leadership

AI Technical Lead – Solutions and Engineering

Threat Intelligence Specialist

• Conduct strategic analysis of internal and external threats across the financial crime landscape to support FCA senior decision-making
• Contextualise and summarise intelligence from a wide range of sources
• Identify emerging threats, risks and vulnerabilities to guide strategic and tactical prioritisation
• Develop and deliver strategic assessments and intelligence reports for internal stakeholders
• Adapt assessments for external partner awareness
• Generate and gather all-source intelligence on money laundering, fraud, AI, digital assets, technological advancements and sanctions evasion affecting the UK financial services sector
• Create high-quality analytical products for diverse audiences using appropriate formats and presentation styles
• Collaborate with internal stakeholders and external partners to enhance threat understanding, share methodologies and review analytical outputs
• Build and maintain proactive relationships with the analytical community
• Identify opportunities for multi-agency threat assessments with wider impacts across sectors, the UK and worldwide

Strategic Assessment Intelligence Analyst

Financial Planning and Analysis

• Advise on the application and effect of regulatory requirements and powers to ensure firms comply with applicable rules, legislation and law
• Devise and implement creative and pragmatic solutions
• Participate fully in the FCA’s supervisory and policy work
• Develop policy and draft rules and guidance in the FCA Handbook
• Take ownership and responsibility for actions
• Supervise less experienced team members

Lawyer – Retail Investment Services

Product Manager

• Lead the vision, strategy and performance of a complex graph analytics product spanning connected data, analytical services, APIs and user-facing tools
• Own and communicate the product vision, strategy and outcome-based roadmap
• Lead the full product lifecycle from discovery and validation through development, operation, continuous improvement and retirement
• Apply technical understanding of graph analytics to shape product choices, review architecture and analytical proposals, and identify where graph approaches add value
• Lead prioritisation and planning across a multidisciplinary team and dependent platform and engineering teams
• Manage scope, uncertainty, dependencies and delivery risk
• Use research, data and direct engagement to understand user problems and validate assumptions
• Build consensus with regulatory users, technical specialists and senior stakeholders
• Own product performance, adoption, benefits, budget, operating cost, risk and lifecycle decisions
• Define success measures, report transparently and enable continuous improvement using qualitative and quantitative evidence

Product Owner – Graph Analytics

Risk

• Conduct and support in-depth financial resilience assessments across wholesale and retail firms
• Identify vulnerabilities and help safeguard consumers, markets, and financial stability
• Deliver analysis and recommendations supporting timely, evidence-based regulatory decisions
• Evaluate and apply appropriate regulatory tools to help firms meet financial resilience standards
• Coach and mentor Associate colleagues and support team capability
• Collaborate with frontline supervisors to contribute to joined-up regulatory outcomes
• Apply prudential regulatory frameworks across firm types and business models
• Engage with senior internal and external stakeholders, provide clear advice, shape outcomes, and contribute to strategic work
• Demonstrate sound judgement, stakeholder engagement, personal accountability, and FCA values

Senior Risk Specialist

Reviewer

• Review and assess digital material for relevance, evidential value, disclosure issues, privilege, and confidentiality across criminal, regulatory, civil, and dual-track investigations
• Work with investigation teams to understand case objectives and recommend proportionate and defensible approaches to eDiscovery and document review
• Apply sound judgement to large and complex data sets, identifying material issues, inconsistencies, review risks and matters requiring escalation
• Advise and support case teams in the effective use of the eDiscovery Tool (EDT)
• Support FCA investigations through digital evidence review, disclosure support and specialist eDiscovery services

Digital Reviewer

Advisor

• Lead policy work on agentic payments by shaping proposals, reviewing information, and collaborating with FCA teams
• Contribute to drafting public consultations on FCA rules and guidance
• Build relationships with government, domestic and international regulators, and industry participants
• Deliver advice and briefings on payments policy issues to colleagues and senior management
• Develop deep knowledge of payment services and regulations and the risks and opportunities of agentic AI and agentic payments
• Play a key role in a major regulatory change project and develop innovative solutions in an evolving policy landscape

Payments Policy Advisor – 12 Months Fixed Term Contract

• Review draft prospectuses and circulars in small case teams
• Assess company eligibility for listing on the London market
• Respond to written queries on interpretation of the regime in novel and complex areas
• Act as a principal point of contact with advisory firms
• Prepare comments on documents provided by companies and advisers
• Manage transaction timetables
• Liaise with companies’ advisers
• Make challenging judgments in market-facing, time-critical and pressurised circumstances
• Collaborate with internal and external stakeholders
• Gain practical exposure to primary markets regulation and major capital markets transactions