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 .

Job Description

You will help create the governance foundation that allows Fraud, AML, KYC, Screening, Product Compliance, and other risk teams to build and improve controls quickly, while maintaining clear oversight, accountability, and control effectiveness.

Your key areas of ownership will include:

• Data governance: Clear ownership, lineage, quality, metadata, and monitoring for data and features used in risk assessments.
• Control assurance: Continuous validation that the right triggers, data, rules, models, and outcomes are operating as intended.
• Auditability and explainability: Complete change histories, approval records, decision lineage, and audit evidence.
• Governance analytics: Dashboards for control performance, risk coverage, Key Risk Indicators, and governance health.
• Regulatory readiness: Consistent reporting, evidence, and governance standards across products, regions, and risk domains.

You will set product KPIs, own the roadmap, and work closely with Engineering, Data Science, Risk, Compliance, Product Compliance, and Internal Audit.

You will translate complex regulatory, operational, and technical requirements into scalable platform products while keeping governance simple and efficient for users.

Qualifications

Our Expectations

• 3+ years of product management experience.
• Experience building platform, governance, compliance, risk, or B2B SaaS products.
• Experience managing technical products from strategy through delivery and adoption.
• Strong analytical, communication, prioritisation, and stakeholder management skills.
• Understanding of regulated markets, compliance, audit, or risk management.
• Familiarity with data governance concepts such as quality, lineage, ownership, metadata, and data contracts.

Good to Haves

• Experience in Fraud, AML, KYC, Screening, Transaction Monitoring, or RegTech.
• Experience with control assurance, audit tooling, decisioning systems, rules platforms, or machine learning governance.
• Background in financial services, payments, fintech, or another regulated industry.
• Experience building products used by multiple teams at scale.

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.

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.