Top Tech Jobs & Startup Jobs in London

Leads software engineering projects for a strategic index trading platform, designing and maintaining applications, partnering with quantitative research and trading stakeholders, and driving delivery from requirements through production support. The role emphasizes testing, operational excellence, secure development, Agile practices, platform improvement, and responsible use of AI-assisted engineering tools. Finance or investment banking experience and knowledge of commodities, indexes, or portfolio analytics are preferred.

Lead software engineering projects supporting JPMorganChase’s strategic index platform. Design, develop, test, and maintain applications; collaborate with quantitative research, trading, sales, structuring, and middle-office teams; apply Agile practices; improve platform resilience and delivery automation; govern secure AI-assisted engineering; and own work from requirements through production support.

Advise the International Consumer Business on UK and EU financial regulatory developments. Monitor legislation covering digital banking, investment services, consumer protection, marketing, digital assets, data protection, and artificial intelligence. Develop regulatory policy positions, coordinate advocacy with internal and external stakeholders, and advise senior business leaders across multiple jurisdictions, including EMEA and the U.S.

Develop, operate, and evolve cloud-native platform infrastructure, including Kubernetes services, developer tooling, CI/CD workflows, infrastructure as code, and automated remediation. Provide production support and incident response while applying security controls, hardening standards, and responsible AI-assisted development practices. Collaborate with engineers, contribute to code reviews, and grow expertise in cloud platform engineering.

Supports Private Bank Client Advisors by coordinating client servicing, account maintenance, documentation, transactions, cash management, periodic reviews, fraud investigations, and issue resolution. Acts as a primary client service contact, collaborates with operations and onboarding teams, identifies cross-sell opportunities, promotes digital adoption, and maintains accurate, timely service delivery for emerging-market clients.

Owns technology risk and controls management across cybersecurity, data security, resilience, third-party risk, and change management. Translates regulations and standards into control expectations, assesses control effectiveness, leads remediation and audit readiness, and provides executive reporting on risk posture. Partners with technology, business, compliance, audit, and regulatory stakeholders while coaching junior staff and responsibly using authorized AI tools.

Leads an AI Controls Enablement team developing, evaluating, and scaling automated controls across Asset and Wealth Management. Translates AI behavior and risks into actionable control findings, oversees tool submissions, conducts simulations and red-team exercises, establishes governance standards, leads the AI Controls Council, and reports progress and impact to senior leadership. Partners with Controls, Technology, and business stakeholders to deliver compliant, sustainable AI solutions.

Leads software engineering for an AI/ML data platform, designing, developing, testing, troubleshooting, and operating secure, scalable Python applications in containerized cloud-native environments. Partners with product and data teams, promotes responsible AI-assisted development, automates recurring remediation, evaluates technology solutions, and mentors junior engineers.

Manage liquidity reporting, forecasting, budgeting, and analysis for a Corporate and Investment Bank Treasury team. Develop daily and weekly reports, explain liquidity trends to senior stakeholders, support LCR, NSFR, and stress-liquidity forecasting, and collaborate across Treasury, Risk, Finance, and business-line teams. The role also supports automation, process improvements, controls, and ad hoc liquidity analysis.

Develop and support secure, scalable software for AI/ML data platforms. Responsibilities include Python architecture and development, cloud-native and containerized application delivery, code review, testing, troubleshooting, operational stability, and automation of recurring remediation. The role also promotes validated AI-assisted engineering practices and collaborates with product managers and data strategy teams. Preferred experience includes graph databases such as AWS Neptune and generative AI engineering pipelines.