Senior Data Analyst - Fraud Risk
- Design, develop and maintain a dashboard of KRIs and relevant Risk appetites for Fraud risk management. This includes defining relevant tolerance and granularity of KRIs and drill downs necessary to swift identify and action risk deterioration.
- Proactive identify and lead risk initiatives in Fraud including development of metrics, running deep dives, trend analysis, incident thematics or risk concentrations - your inputs will be a critical driver to build a more proactive risk management program.
- Provide analytical inputs requiring quantitative assessments such as but not limited to product changes, inherent risk assessment frameworks, issues rating analysis, scenarios testing, incident reviews, risk and KRIs appetites setting, regional impact assessments
- Responsible for working with financial crime risk managers in ensuring control assurance testing adequately covers relevant scenarios for DE and OE testing in the first line.
- Provide quantitative risk analysis to support quarterly risk assessments for risk governance committees. This would also include from time to time also present on relevant risk topics and deep dives as necessary in the risk committees and product planning forums.
- Collaborate with second line model risk management function and participate in relevant associated forums.
- Working with Compliance Managers, CRO and other key risk stakeholders in defining and implementing risk strategy for financial crime risk analytics.
- Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money
- Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!
- Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.
- Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.
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