Top Tech Jobs & Startup Jobs in London

Leads EMEA travel and expense management, overseeing regional staff and vendors, corporate travel services, corporate cards, employee reimbursement, supplier contracts, KPIs, SLAs, risk, and business continuity. Partners with sourcing, legal, finance, technology, and global leadership to improve travel and expense services, support VIP travelers, optimize costs, and execute long-term strategy.

Senior HR Business Partner advising Institutional Equities and Research leaders across EMEA. Responsibilities include workforce planning, organizational design, succession, talent, performance, compensation, employee relations, restructuring, regulatory matters, workforce analytics, and inclusion. The role partners with senior stakeholders and global HR teams to deliver strategic people solutions in a complex, regulated financial-services environment.

Lead developer engagement for firmwide developer tools to drive safe, practical adoption of AI coding tools. Run demos, workshops, and enablement; create guidance, examples, and playbooks; gather feedback; partner with platform, risk, and engineering leaders to scale adoption across a regulated enterprise.

Develop and support quantitative models for pricing, valuation, hedging, calibration, and risk management of exotic equity and hybrid derivatives. The role involves PDE solvers, diffusion models, numerical analysis, production model implementation, product analysis, and automation within a front-office trading environment. Candidates need an advanced quantitative degree, strong modeling and object-oriented programming skills, expertise in quantitative mathematics, and knowledge of equity derivatives.

Leads quantitative analysis and automation for the cash equity trading business. Responsibilities include market and vendor data analysis, trader portfolio and P&L analysis, quantitative method automation, large-scale data processing, enriched dataset construction, and development of trading efficiencies. The role partners closely with traders and requires strong Python programming, database knowledge, Linux and shell scripting experience, portfolio optimization expertise, and practical equity-market experience.

Drive growth of electronic Rates sales by interfacing with clients, trading, e-strats and technology. Analyze e-trading performance, build client analytics and dashboards, support onboarding to electronic venues, manage client tiering, and partner on automation and platform enhancements to scale the eRates franchise.

Lead internal audit and assurance activities for Investment Banking and Global Capital Markets, including risk identification, control testing, continuous monitoring, closure verification, reporting, and stakeholder engagement. Analyze data and regulatory requirements to assess control environments, prioritize risks, manage deliverables, and support audit team development.

Develop and support high-volume, low-latency electronic trading systems and delta-one algorithmic trading strategies. Responsibilities include Java development, trading engine infrastructure, analytical tools, signal generation, system performance optimization, and full software development lifecycle ownership. The role partners closely with trading, quantitative, and IT teams in a front-office environment and requires expertise in automated market making, electronic trading, Linux, and messaging technologies.

Develop scalable Python and Java solutions for generative AI and machine learning within Morgan Stanley’s trade surveillance analytics platform. Build agentic applications using LLMs, RAG, vector storage, MCP, and A2A patterns; integrate databases, UI frameworks, and DevOps practices. Collaborate with global Agile teams, translate business requirements, write comprehensive tests, optimize code and queries, and follow enterprise SDLC governance.

Leads the design, implementation, maintenance, and continuous improvement of resilient infrastructure automation for algorithmic trading. Provides Linux-based electronic trading platform expertise, partners with development and infrastructure teams, manages technical risk, and supports scalable systems. The role includes technical leadership, mentoring engineers and SREs, full-lifecycle ownership, incident review, and adoption of SRE practices. Advanced Python, Unix/Linux, infrastructure automation, debugging, CI, Git, Jenkins, and software engineering expertise are required.