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
Basic Qualifications
Bachelor's or master's degree in mathematics, statistics, economics, computer engineering or analytics related field4+ years of consulting, analytics delivery experience in Fraud, Disputes, operations and exposure to credit card & retail banking domainsHands-on experience with SAS / SQL and Microsoft OfficeExcellent communication, presentation and story building skillsStrong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day complex customer problemsDesired Qualifications
Ability to adapt to emerging analytic tools and solutions into standard operating proceduresKnowledge of basic machine learning algorithms like decision trees, regression models and clusteringExpertise in fraud application loss mitigation on cards portfolioLocation : New York City / Jersey City (3-4 Days from office per week)