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

Manager

Key skills