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Fraud Strategy Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Inizio Partners Corp
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

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 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
Desired Qualifications
  • 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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