Job Description
Seeking candidate with ability to identify and understand fraud patterns, maintain and propose countermeasures, and presenting findings to leadership and management. Candidate will collaborate with partners in the line of business, the Enterprise Fraud Organization, operations, technology, modeling, legal, and other stakeholders. Must be comfortable working in a rapid pace environment due to the nature of the underlying work and potential loss that could be incurred.
RESPONSIBILITIES
• Analyze data to identify and understand fraud patterns
• Work with stakeholders to balance fraud loss with client experience and business growth
• Maintain the fraud mitigation plan for the card domain
• Participate with industry groups and peers
• Provides fraud analysis to support decision making across the company
• Oversees the monitoring of fraud customer experience and fraud trends and develops countermeasures to address those trends
• Ensures fraud strategies balance customer experience, fraud/loss mitigation and operational expenses
• Works closely with internal fraud partners, business partners and external vendors to ensure optimal strategic use of fraud tools
• Works with external vendors on fraud model development, performance monitoring and implementation
• Assists in the implementation of fraud strategies within the fraud detection tools
• Monitors of fraud strategy performance
• Participate in reactive and proactive reporting and analytics around operational performance, fraud prevention and other business requests
• Contributes the development of analytical tools to manage common points of compromise testing, valuation and usage identification
QUALIFICATIONS
• Bachelors degree in relevant field preferred, In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered
• 5 years of financial industry experience required. Specifically, Fraud experience preferred
• Statistical and analytical capabilities with preference given to modeling experience as well as SQL (Toad, Python, SAS, R) specific to Hadoop, Oracle, and Teradata and techniques specifically working with very large datasets
• 2 years of management experience are preferred
• Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business
• Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations
• Knowledge of and ability to utilize processes, tools, and techniques for detecting, addressing and preventing fraudulent situations
• strong analytic and data skills
• Proficiency with SQL, Python or R
• Effective communication skills in oral, writing and presentation
• Tableau developing experience is a plus
• Prior banking experience such as understanding how ACH, Wire transfer works, and/or prior anti-fraud experience is a plus
RESPONSIBILITIES
• Analyze data to identify and understand fraud patterns
• Work with stakeholders to balance fraud loss with client experience and business growth
• Maintain the fraud mitigation plan for the card domain
• Participate with industry groups and peers
• Provides fraud analysis to support decision making across the company
• Oversees the monitoring of fraud customer experience and fraud trends and develops countermeasures to address those trends
• Ensures fraud strategies balance customer experience, fraud/loss mitigation and operational expenses
• Works closely with internal fraud partners, business partners and external vendors to ensure optimal strategic use of fraud tools
• Works with external vendors on fraud model development, performance monitoring and implementation
• Assists in the implementation of fraud strategies within the fraud detection tools
• Monitors of fraud strategy performance
• Participate in reactive and proactive reporting and analytics around operational performance, fraud prevention and other business requests
• Contributes the development of analytical tools to manage common points of compromise testing, valuation and usage identification
QUALIFICATIONS
• Bachelors degree in relevant field preferred, In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered
• 5 years of financial industry experience required. Specifically, Fraud experience preferred
• Statistical and analytical capabilities with preference given to modeling experience as well as SQL (Toad, Python, SAS, R) specific to Hadoop, Oracle, and Teradata and techniques specifically working with very large datasets
• 2 years of management experience are preferred
• Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business
• Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations
• Knowledge of and ability to utilize processes, tools, and techniques for detecting, addressing and preventing fraudulent situations
• strong analytic and data skills
• Proficiency with SQL, Python or R
• Effective communication skills in oral, writing and presentation
• Tableau developing experience is a plus
• Prior banking experience such as understanding how ACH, Wire transfer works, and/or prior anti-fraud experience is a plus
Additional Details
Experience: 2-5 years