Top Tech Jobs & Startup Jobs in London

Lead development of high-performance Java applications for real-time FX risk management. Responsibilities include architecture, low-latency distributed systems, JVM optimization, coding, AI-assisted development, code reviews, testing, cloud deployment, production support, release ownership, and technical leadership without direct reports. The role works closely with quantitative analysts, traders, and business stakeholders while contributing to global risk technology strategy.

Develops and leads integrated creative concepts across brand, marketing, digital, social, internal communications, storyboards, and brand experiences. Translates complex financial information into compelling visual narratives, collaborates with cross-functional teams, directs art workers, presents ideas to stakeholders, and ensures creative output meets brand, regulatory, quality, budget, and deadline requirements.

Develop and lead low-latency Java application frameworks for algorithmic trading and market-data systems. Build event-sourced microservices delivering 10–100 microsecond response times, integrate and deploy new capabilities, analyze complex systems, and optimize JVM, Linux, networking, and kernel performance. Collaborate with users and senior leaders, provide technical expertise, document designs, and mentor developers. Experience with market data, KDB, TCP/IP, kernel bypass technologies, and commercial-grade Java frameworks is required; C++ is beneficial.

Senior leader accountable for OTC and ETF derivatives operations, strategic operating-model transformation, process and technology change, risk governance, client relationships, team development, business development, and complex cross-functional programs. The role oversees trade lifecycle operations, technology roadmaps, operational controls, budgeting, and industry representation while partnering with Product, Technology, Sales, Legal, Compliance, and Risk teams.

Leads Citi’s OTC and ETF Operational Change function, owning strategic roadmaps, process and technology transformation, complex multi-workstream programs, operational risk, governance, budgets, and team performance. The role manages senior stakeholders and institutional clients, oversees testing and solution design, drives automation and AI initiatives, supports business development, and represents Citi in industry forums. It requires deep OTC derivatives and ETF expertise, strong financial markets knowledge, executive client management experience, and leadership of large-scale organizational change.

Ten-week London summer analyst internship in Citi Research. The analyst will support industry or macro research teams by analyzing financial markets, maintaining spreadsheets, quantitative models and databases, preparing research insights and recommendations, updating marketing materials, responding to client requests, and attending company meetings and conferences. High-performing interns may be considered for a full-time 2028 position.

Develop production-grade quantitative trading applications for equity derivatives desks. Responsibilities include building real-time pricing and curve-marking tools, reusable libraries, APIs, AI agents, backtesting capabilities, risk analytics, signal-generation systems, and desk workflow tooling. The role partners closely with traders, quants, sales, and technology teams to deliver cloud-hosted, mission-critical solutions supporting pricing, trading, and revenue generation.

Develop and lead low-latency algorithmic trading systems and application frameworks for Citi’s high-performance architecture team. Work primarily in Rust and Java on event-sourced microservices operating at 10–100 microsecond response times. Build market data replay, backtesting, and simulation utilities; analyze and optimize system performance; design integrations; collaborate with users and senior stakeholders; and mentor developers. The role requires expertise in Java, JVM internals, Linux, networking, market data, KDB, and low-latency trading technology.

Develop and lead low-latency Java and Rust systems for algorithmic trading, market data replay, and backtesting. Build and optimize event-sourced microservices operating at 10–100 microsecond response times. Analyze complex processes, design application frameworks, integrate new products, and tune performance across the JVM, Linux kernel, and networking stack. Collaborate with senior stakeholders, document architectures, and mentor developers across Citi’s Markets Technology teams.

Leads end-to-end development and architecture of enterprise Generative AI and Agentic AI products. Partners with business and technology stakeholders, shapes product roadmaps, builds AI agents using Google ADK and MCP, writes production-quality Python or Java, and drives testing, CI/CD, security, compliance, mentoring, and technical strategy.