OverviewWise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. 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. For everyone, everywhere.

What You''ll 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

What You''ll 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 evidenced 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

Qualifications#LI-SL1

Additional InformationFor 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.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

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