Company Description
Wise is a global technology company, building the best way to move and manage the world’s money. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world’s money.
Job Description
This role is a Lead Analyst position focused on financial crime analytics and platform design.
About The Role
You’ll help us build the next generation of systems that run multi‑region, scalable processes to identify customers who they say they are and ensure any processes minimise the chance of financial crime throughout a customer’s lifecycle. You’ll be embedded in one of our product teams, partnering 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
- Balance the inherent risks of onboarding criminals against user friction and operational costs for every risk‑based decision.
- 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
- Build sustainable, long‑term foundations rather than short‑term growth hacks.
- Embody a data‑as‑a‑product mentality
- Collaborate with engineers to build well‑instrumented systems that reveal end‑to‑end performance.
- Define and maintain source‑of‑truth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.
- Create 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.
For more information on our Analytics Career Map and leveling structure, click here.
Qualifications
About you
- Able to design scalable data models from the backend to our data infrastructure.
- Strong SQL skill 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 proficiency 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‑oriented team.
Additional Information
Our Offer
- Base salary: £75‑115k gross per year (based on experience & interview outcomes).
- Restricted Stock Units (RSUs).
- Numerous best‑in‑class benefits.
- Flexible working – whether it’s working from home, attending school plays or managing life admin, we trust you 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.
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.
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