Lead Analyst Onboarding Platform

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: 75-100k gross / year base (based on experience & interview outcomes)

• Restricted Stock Units (RSUs)

• Numerous amount of best in class benefits

• Flexible working - whether its working from home school plays or life admin we get that flexibility is essential and youre 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. 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