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Wise

Lead Data Scientist - AML

Wise London, England, United Kingdom · £90K–£127K/yr

Financial Services · 5,001-10,000 employees

Oct 15
data-scientist Senior (5-10 yrs) Full-time United Kingdom
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About the role

Lead data science initiatives focused on anti-money laundering efforts to protect the platform and its users. Develop and implement advanced models to detect and prevent financial crime while ensuring regulatory compliance.

What they look for

Data Science Anti-Money Laundering AML Financial Technology Leadership Risk Management Statistical Modeling Machine Learning Data Analysis Compliance

Requirements

Requires extensive experience in data science, specifically within the AML or financial crime domain. Strong leadership capabilities are necessary to guide the team and drive strategic technical decisions.

Full description

Company Description

Wise 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.

More about our mission and what we offer.

Additional Information

For 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.

  • Compensation: GBP 90500 - GBP 127000 - yearly

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