About the company
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.
Responsibilities
- Analyse Card Fraud dispute trends, independently query databases, and perform data deep dives to identify fraud patterns and prevention opportunities.
- Develop, test, and implement Card Fraud prevention rules, including rule scope validation and post-implementation monitoring.
- Optimise fraud rules to reduce fraud losses while maintaining a strong customer experience and minimising unnecessary transaction declines.
- Monitor the performance of fraud prevention strategies and identify opportunities to improve rule precision, recall, and overall effectiveness.
- Work closely with Product and Engineering teams to improve the customer experience associated with fraud declines, alerts, and controls.
- Contribute to Card Fraud prevention projects aligned with the team’s KRIs, KPIs, and OKRs.
- Provide data, analysis, and fraud prevention recommendations during incidents when required.
- Clearly communicate Card Fraud prevention strategies and analytical findings to stakeholders outside of the fraud prevention team.
- Help protect Wise cardholders from unauthorised card usage, scams, payment instrument fraud, and account takeover fraud.
- Create and optimise Spend fraud prevention rules to reduce customer monetary loss, Spend fraud BPS, scheme-related costs, and unrecoverable fraud losses.
- Use machine learning scores and other risk signals within fraud rules to improve fraud detection performance.
- Identify emerging fraud patterns and recommend appropriate prevention strategies.
- Contribute to longer-term projects targeted at reducing Card Fraud.
- Work with Spend Product and Engineering teams to identify opportunities to improve fraud prevention tooling and the customer journey.
- Stay up to date with fraud trends highlighted by card schemes, governmental organisations, industry sources, and the media.
- Understand the trade-offs between fraud prevention, customer experience, approval rates, and product costs.
- Use data to identify areas of elevated fraud risk and opportunities to improve existing prevention strategies.
- Perform analytical deep dives into fraud trends, rul