2-5 years of data analyst experience with a focus on fraud or risk management.
Experience developing fraud scores and risk rules through statistical modeling.
Deep experience investigating, analyzing and defending against emerging fraud trends including ATO and first party fraud.
Experience identifying and managing card authorization rules.
Understanding and experience with financial loss causes, measures, and mitigation strategies.
Strong analytic skills utilizing SQL, Python, R, etc.
Experience with digital banking, payments networks, or financial services.
Intellectually curious and strong ability to adapt strategies as fast as the fraudsters.
Responsibilities:
Identify potential points of opportunity in Branch’s risk management program through the analysis of fraud events, customer behavior, operational pain points and loss trends.
Translate analysis into recommendations for business logic to minimize losses and improve customer experience.
Create risk analytics workflow, including defining success and performance metrics, and monitor progress through the creation of actionable dashboards and reports.
Partner closely with Product and Risk to identify highest impact points in the funnel to reduce loss exposure.
Develop scalable frameworks to manage risk scores, fraud detection alerts, and false positive monitoring.
Provide recommendations on risk controls and thresholds through fact based analysis.