About the role
Youll 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. Youll 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 youll 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 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 isnt about short term growth hacking - youll 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 sourceoftruth datasets and dashboards for onboarding funnels manual reviews document processing and operational performance.
Build selfserve 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 tradeoffs 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
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 decisionready dashboards.
Clear communicator who can frame tradeoffs 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
Additional Information :
Our Offer
Base salary: 75-115k gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Hybrid Working Environment - 3 days per week in our London office.
Best in class benefits
MobileWiser - work from anywhere* in the world for up to 90 days a year!
6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Experience: years
Vacancy: 1
Lead Product Analyst FinCrime • London, England, UK
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