Fraud Strategy Manager - 2 roles
Fraud Strategy Manager - 2 roles
Posted on :
19-12-2024
Employer Active
1 Vacancy
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Job Description
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 endtoend delivery of analysis and seamless execution by collaborating with crossfunctional teams. You will get an opportunity to derive insights from large complex datasets and impact business decisions through databased findings.
Responsibilities
- Design & Implement data driven First Party Fraud/ synthetic frauds strategies credit abuse.
- Generate and automate regular reports and dashboards for fraudrelated 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 proactively working with clients 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
- Bachelors or masters 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
- Handson 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 daytoday 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
Employment Type
Full Time
Key Skills
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