Staff Product Analyst FinCrime

We are seeking an experienced and strategic Staff Product Analyst to join our Financial Crime team. This role is pivotal in driving the analytical strategy across our financial crime domains including AML Fraud Screening and KYC. As a Staff Product Analyst you will leverage your expertise to conduct impact analysis develop experimentation methodologies and perform root cause analysis to enhance our risk management capabilities.

What Youll Be Doing:

• Impact Analysis: Lead the modelling of the cost of churn and other financial impacts of fincrime controls providing insights to optimise our risk management strategies

• Experimentation Methodologies: Develop and implement advanced experimentation methodologies and causal inference techniques to assess the effectiveness of fincrime controls and initiatives

• Capacity and Demand Forecasting: Conduct capacity and demand forecasting to ensure our fincrime teams are equipped to handle current and future challenges effectively

• Root Cause Analysis: Perform in-depth root cause analysis to identify underlying issues and opportunities within our fincrime processes and customer segments

• Risk Exploration: Explore and analyze risk across different customer segments providing actionable insights to enhance our risk mitigation strategies

• Cross-Functional Collaboration: Work closely with the AML Fraud Screening and KYC teams to align analytical efforts with business objectives and drive data-driven decision-making

Qualifications :

What Youll Bring:

• Experienced analyst or data scientist who likes to operate with a high degree of autonomy in often ambiguous/diverse problem sets

• Strong quantitative skills with a background in statistics mathematics or a related field

• Able to demonstrate that you can tell a  story and proactively give guidance on strategy based on insights

• Proven ability to lead cross-functional projects and influence decision-making at a strategic level

• Worked with C-level stakeholders and evidence building strong relationships at this level to achieve alignment on complex topics

• Technical breadth as an analyst from insight generation building data models building reporting and executing testing (a/b testing geo testing etc.)

• (Desirable) Worked in fintech or a similar high growth industry

Additional Information :

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