Fraud Strategy Manager
9 hours ago
About the job Fraud Strategy Manager
Role Summary
In this role, you will be involved in the First Party Fraud / Credit Abuse Strategy team for a leading US bank focusing on end-to-end delivery of analysis and seamless execution by collaborating with cross-functional teams. You will get an opportunity to derive insights from large complex datasets and impact business decisions through data-based findings.
Responsibilities
- Design & Implement data driven First Party Fraud/ synthetic frauds strategies, credit abuse.
- Generate and automate regular reports and dashboards for fraud-related KPIs, offering actionable insights for Senior management.
- Analyze transaction data and customer behavior to identify early warning signs of fraud and proactively address vulnerabilities.
- Identification of potential check and deposits fraud - activity related to checks, such as forged checks, counterfeit checks
- Independently address complex problems and share insights from data analysis that integrate with initial hypothesis and business objective
- Comfortable working with large datasets, including managing large number of data sources, analyzing data quality, and pro-actively working with client's data/ IT teams to resolve issues
- Reformulate highly technical information into concise business presentations
- Create presentations and reports based on recommendations and findings
- Bachelor's or master's degree in mathematics, statistics, economics, computer engineering or analytics related field
- 4+ years of consulting, analytics delivery experience in Fraud, Disputes, operations and exposure to credit card & retail banking domains
- Hands-on experience with SAS/SQL and Microsoft Office
- Excellent communication, presentation and story building skills
- Strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day complex customer problems
- Ability to adapt to emerging analytic tools and solutions into standard operating procedures
- Knowledge of basic machine learning algorithms like decision trees, regression models and clustering
- Expertise in fraud application loss mitigation on cards portfolio
Location: New York City / Jersey City (3-4 Days from office per week)
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