Lead Analyst - FinCrime

🔒 Confidential Employer
Posted 21 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£100,000 / year
CATEGORY
Finance
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL BI tools Python Data modeling Risk management Financial crime Data pipelines

FULL DESCRIPTION

About the role

You’ll help us build the next generation of systems that help us run multi region, scalable processes to identify customers who they say they are and ensure any processes minimise the chance of financial crime manifesting throughout a customers lifecycle. You’ll be embedded in one of our product teams, partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.

What you’ll do

  • Work on the fincrime analytics ‘3 body problems’ of risk, friction and cost
  • Size opportunities, model impact on volume/cost/risk, and evaluate control changes and operational experiments.Quantify why documents are rejected and the effectiveness of recovery prompts
  • Help design scalable platforms
  • Embody a data-as-a-product mentality
  • Work with engineers to build well instrumented systems that allow us to understand end to end performance
  • Define and maintain source‑of‑truth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.
  • Build self‑serve data assets and documentation so stakeholders can answer common questions independently
  • Translate questions from CDD Ops, KYC Controls, Product and Engineering into clear analytical plans; communicate insights, trade‑offs and recommendations.
  • Shape the ‘what next’ for product outcomes

Qualifications

About you

  • Able to design scalable data models from the backend to our data infrastructure
  • Strong SQL with experience building robust pipelines
  • Proficient with BI tools and designing decision‑ready dashboards.
  • Clear communicator who can frame trade‑offs between risk, conversion and operational cost.
  • Python for deeper analysis and automation.

Nice to have

  • Familiarity with risk management frameworks
  • Exposure to financial crime concepts (fraud, money laundering etc)
  • Experience working in a platform orientated team
Sign up free — access 45,000+ UK sponsor-licensed jobs