Top Tech Jobs & Startup Jobs in London

Lead CRM product communications by designing data-driven strategies and briefs for multi-platform, multi-locale campaigns. Partner with Product, Pricing, Creative, and CRM teams to launch product and pricing communications, create engaging content, track performance, iterate on insights, and manage stakeholders under tight deadlines.

Lead development and tuning of transaction monitoring controls for Wise Platform. Perform exploratory data analysis, create monitoring rules and thresholds, build Fincrime KRIs and dashboards, partner with product, PRM, KYC and operations to identify and mitigate partner and transactional risks.

Lead a small team of product designers to elevate B2B partner experiences for Wise Platform. Collaborate with product, engineering, sales, and content designers to translate technical challenges into polished, scalable design solutions. Ship partner-facing improvements, prototype (including AI-supported workflows), and work directly with banks and platforms to workshop and present design outcomes.

Lead and build Wise's Risk Modelling ML engineering pillar: design a Model Factory and experimentation engine, implement model ops (retraining, drift detection, monitoring), hire and mentor senior ML engineers, set engineering standards, and partner with platform teams to safely scale hundreds of real-time financial crime models.

Own consumer logged-out and discovery surfaces, define global positioning and messaging hierarchy for send/receive/spend, lead localisation and research, drive GTM launches and awareness/conversion campaigns, and build metrics linking positioning to acquisition and onboarding.

Lead implementation and operation of the EU-tailored Enterprise Risk Management framework. Set partner onboarding and monitoring standards, run risk assessments and KRI monitoring, advise product teams, maintain 2LOD policies, support regulatory business plans, oversee control assurance and outsourcing oversight, present outcomes to committees and executives, and escalate incidents and issues as needed.

Lead Data Scientist for CRM/personalisation owning end-to-end production ML: feature pipelines, model training, inference and impact measurement. Build predictive, uplift, and recommendation models, design and analyse A/B tests, partner with analysts, engineers and CRM managers, and translate models into measurable CRM growth levers.

Lead a Treasury Global Liquidity data engineering team to design and deliver real-time liquidity observability, scalable event-driven systems, automated investment and risk tooling, and analytics/ML collaboration. Define technical strategy, partner with product and stakeholders, mentor engineers, and ensure resilient, high-performance data platforms that optimise cash management and customer experience.

Own end-to-end partnership lifecycle to acquire high-net-worth customers: source and outreach to prospects, pitch and negotiate commercial deals, launch and manage partnerships for initial 3–6 months, track KPIs and performance using reporting tools, and collaborate with internal teams to scale successful partnerships.

Lead Data Scientist responsible for designing, implementing, and deploying liquidity management and risk models. Work with Treasury, engineering, and product teams to forecast supply and demand, optimise cash placement, prepare stress scenarios, and present model results to stakeholders to keep liquidity risk within appetite.