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
- Nearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction and operational costs
- 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
- This is a team about building sustainable, long term foundations
- This isn’t about short term growth hacking - you’ll help build a long lasting platform
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
Stakeholder partnership
- 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

This is a Lead Analyst role. For more information on our Analytics Career Map and levelling structure, click here

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

Our Offer

Base salary: £75-100k gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Numerous amount of best in class benefits
Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible
Paid annual holiday, sick days, parental leave and other leave opportunities
6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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