Top Tech Jobs & Startup Jobs in London

Lead a small FP&A team to provide strategic financial oversight for Core Functions (Finance, Legal, Treasury, Risk, Compliance, People). Drive workforce financial strategy, headcount governance, KPI-driven performance management, automation of headcount and benefits reporting, and long-term location and organisation design planning. Act as a senior partner to the CPO and leadership, translating financial data into executive narratives and influencing company-wide decisions.

Build and scale Wise's price comparison platform: develop scrapers, ingestion and validation pipelines, event-driven backend APIs, and monitoring to ensure accurate, trustworthy competitive-pricing data. Collaborate with product, analytics and engineering teams, own end-to-end delivery, and improve reliability and observability.

Design and deliver a real-time liquidity observability stack and core treasury functions. Build scalable, event-driven systems, implement monitoring and control mechanisms, automate cash investment and risk tooling, and collaborate with product, data scientists and stakeholders to forecast cash flows and optimize liquidity.

Lead design and delivery of real-time liquidity observability and core data systems for Treasury Global Liquidity. Build scalable event-driven data platforms, collaborate with product, analysts and data scientists, implement monitoring, controls, and automation for cash management and risk, and mentor engineers to ensure high-quality, reliable production systems.

Join the Partner Experience team to design and build backend microservices and APIs for partner-facing features (fraud reporting, case management, RBAC, audit logging, transaction visibility). Implement SSO (SAML2) and partner communication services, perform technical discovery and system mapping, produce design docs, and provide production support while collaborating with FinCrime, Compliance, KYC, and adjacent teams.

Provide executive-level support to the CMO and Global Head of Communications: manage complex calendars and inboxes across time zones; prepare meeting agendas and briefing materials; track outcomes and priorities; coordinate international travel and visas; handle expenses, invoices and Workday approvals; plan leadership events and offsites; identify process improvements and support AI-driven workflow changes while maintaining discretion and strong stakeholder relationships.

Lead and scale international evaluative research for North America and APAC. Set research strategy and priorities, build repeatable research operations, engage vendors, coach non-researchers, and influence product and senior leaders using mixed-method studies and modern tools (including AI).

Own and operate production quantitative infrastructure for real-time FX pricing, risk, and trading. Build and maintain Python microservices, monitoring, CI/CD, shared quant libraries, and incident response. Collaborate with quants, traders, product and engineering to improve pricing, risk analytics, and trading systems while contributing to quantitative models.

Lead Analytics Engineer mentors analysts, defines data infrastructure roadmap, builds and maintains core datasets and analytics pipelines, drives adoption of tooling (dbt, Airflow, BI), and enforces data modelling, monitoring, testing, and best practices.

Lead mixed-method UX research for the Mitigation Platform, defining research direction, uncovering cross-team patterns, shaping AI/LLM integration, influencing senior stakeholders, mentoring others, and translating insights into platform product strategy and metrics.