Top Tech Jobs & Startup Jobs in London

Develop and maintain Python applications for counterparty credit risk and Basel Capital calculations. Responsibilities include optimizing performance, supporting CI/CD and cloud workflows, expanding automated test suites, conducting profiling, documenting processes, and collaborating with Quant and Technology teams on model updates. The role also analyzes complex system issues and serves as a subject matter expert for stakeholders.

Leads Citi’s global Enterprise Resilience internal audit strategy and portfolio. The role oversees audits of business service mapping, impact tolerances, scenario testing, recovery capabilities, infrastructure, cloud resilience, third-party dependencies, incident management, governance, and regulatory compliance. It serves as a senior subject matter expert, manages global teams, engages executives and regulators, leads remediation validation, and improves audit quality and coverage.

Develop and deliver scalable, low-latency Java solutions for cross-border FX payments and custody. Responsibilities include architecture, feature development, testing, production support, system modernization, AI-assisted application development, and collaboration with sales, trading, quantitative, and product teams. The role also requires mentoring junior engineers, improving software development practices, maintaining documentation, and supporting cloud-native, messaging, database, caching, and CI/CD technologies.

Lead Citi’s UK and Europe Payments industry and regulatory engagement strategy. Represent the firm in regulatory consultations, industry working groups, standards bodies, and market infrastructure forums. Translate regulatory, technical, and market developments into product strategy, investment priorities, client advisory insights, and risk controls. Partner with Product, Sales, Operations, Technology, Compliance, and Government Affairs leaders while advancing AI-enabled market intelligence and thought leadership across payments, receivables, platform services, and liquidity.

Build and lead defensive capabilities securing AI and agentic systems across Citi. Responsibilities may include AI-assisted penetration testing, automated exploit validation, AI security architecture, model evaluation, guardrails, runtime monitoring, vulnerability management, security operations, detection, triage, and response. The role requires technical leadership across offensive security, detection, SecOps, AI governance, and production-scale LLM systems.

Build and maintain automated evaluation harnesses, regression testbeds, benchmarks, prompt templates, output schemas, and CI/CD testing pipelines for production AI agents. Analyze agent performance, hallucinations, latency, tool-call correctness, and security risks. Develop Python solutions, curate datasets, implement Lakera Guardrail policies, monitor evaluation cycles, and provide diagnostic reporting to stakeholders while operating independently within delivery pods.

Leads a forward-deployed engineering squad delivering enterprise-grade AI agents for Citi business units. Responsibilities include architecture, sprint planning, resource allocation, integration with banking systems and APIs, compliance with AI evaluation and security standards, and management of eight senior engineers. The role partners with business and technology executives, oversees multiple concurrent projects, and drives production deployment of agentic AI solutions in regulated environments.

Ten-week Internal Audit Summer Analyst internship in London providing training, mentoring, networking, and hands-on assurance work. Analysts assess governance, risk management, and internal control environments across Citi’s businesses and functions, collaborate with teams, present accomplishments to senior management, and may be considered for full-time roles. Candidates should demonstrate analytical, communication, teamwork, problem-solving, multitasking, curiosity, and attention-to-detail skills.

Lead the architecture, development, deployment, and scaling of production-grade agentic AI systems for banking workflows. Build AI agents with Python, ADK, LangGraph, and Arc; integrate enterprise APIs, databases, microservices, and Kafka; and implement secure execution environments. Provide technical leadership through architecture and code reviews, security assessments, mentoring, and reusable enterprise platform contributions. Ensure solutions meet reliability, regulatory, governance, and responsible AI requirements.

Leads hands-on development of enterprise-scale, AI-powered full-stack applications and developer platforms. Establishes architecture and technical direction across frontend, backend, APIs, cloud, and platform systems. Drives Generative AI adoption, DevSecOps, automation, scalability, and engineering standards across teams while partnering with senior stakeholders and mentoring engineering leaders and senior technical talent.