Fraud Quant Analyst Supplemental Support

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Position- Fraud Quant Analyst Supplemental Support

Location : Cincinnati, OH (Onsite)

Job Type : Contract

Mandatory skills : Responsibilities :

This person will provide quantitative and qualitative support for the Financial Crimes Fraud Team for consumer debit card analytics for the 5 / 3 fraud platform conversion. This person will provide data mining and analytics support using SAS and Tableau for reporting, analytics, and fraud strategy for consumer debit card analytics. This role also requires card fraud knowledge related to authorization strategy management of fraud rules using analytics.

Minimum Knowledge Skills and Abilities Required : Advanced degree in quantitative analytics, economics, statistics, engineering, or a related area. Minimum 1 year of card fraud authorization strategy experience writing and deploying rules for card fraud strategy Minimum 3-5 year of experience programming in SAS (base SAS, SAS macros, PROC SQL, extensive data mining and manipulation experience using SAS) Critical thinking skills (frame a problem, test a hypothesis, implement solutions Other Skillsets (preferred but not required) SQL, VBA, and Python Strong verbal and written communication skills. Strong analytical skills. Ability to present a professional image. Ability to work in a team environment. Ability to multi-task and to be flexible. Prior management experience and evidence of leadership is a plus. Description of Duties and Responsibilities : Gather and review existing documentation related to current state debit fraud processes and rules (e.g., procedures, process flows) and target state fraud strategy. Inventory existing debit card fraud reporting and data sources Inventory new debit card fraud data sources and mapping to legacy data sources Validate Falcon data in Snowflake to assess completeness, accuracy, and validity of new Falcon data Validate Cardinal (3DS) data in Snowflake to assess completeness, accuracy, and validity of new Falcon data Create new reporting using Falcon and Carinal data in Snowflake Collaborate with personnel via current state working sessions (up to five) to document current state fraud rules configured within existing legacy applications (e.g., SAS). Review and obtain sign-off of Current State Fraud Rules from Debit - Fraud / Disputes Squad product owner ("Approved Client Specifications"). Based on current state fraud rules, target state fraud strategy, and EY's observed industry practices, develop target state fraud rules to be configured within the new application (e.g., Falcon). Facilitate up to ten target state working sessions to refine target state fraud rules that align to fraud strategy. Review and obtain sign-off of Target State Fraud Rules from Debit - Fraud / Disputes Squad product owner ("Approved Client Specifications"). Analyze manual entry points and identify gaps / recommend areas for improvement. Analyze historical data and current state fraud patterns to identify opportunities for optimizing target state fraud detection. Write Target State Falcon fraud rules to aid in optimizing the bank's fraud strategy (including optimizing FPR and managing net losses) using SAS and Python

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