Fraud Strategy & Analytics Lead

Skill

Irving (TX)

Hybrid

USD 88,000 - 92,000

Part time

14 days+

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Job summary

Skill is seeking a Fraud Analytics & Strategy Manager to design, execute, and scale data-driven fraud strategies across consumer, small business, and card portfolios. You will connect data, strategy, policy, and model risk management to safeguard the firm.

This role requires 5+ years in fraud analytics plus strong SAS/SQL, Excel, and Big Data tooling. The position supports a hybrid schedule with 3 days onsite weekly in Dallas/Irving (TX) and other listed locations.

Qualifications

  • Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Economics, Data Science, or related field).
  • 5+ years in fraud strategy, quantitative analytics, or risk management within financial services.
  • Proficiency in SAS or SQL for data manipulation, strategy monitoring, and performance assessments.
  • Strong Excel skills for data modeling and reporting.
  • Experience with Big Data environments (Python, Hive, Impala) and statistical analysis.

Responsibilities

  • Strategy & Decision Engine Optimization: Design, test, and implement robust fraud mitigation rules and authorization governance strategies across decisioning systems.
  • Model Risk Management & Lifecycle Oversight: Lead Fraud Model Risk activities with modelers, vendors, and validators across validation, monitoring, versioning, and reviews.
  • Advanced Data Analytics & Trend Detection: Query large datasets using SAS, SQL, and open-source tools to identify behavioral patterns and translate data into actionable insights for executives.
  • Regulatory Compliance & Technical Documentation: Package analyses into regulatory-ready documentation and present findings to senior management and regulators as required.
  • Cross-Functional Leadership: Partner with Fraud Policy, Operations, Product, and IT to align fraud strategies with business growth and incident management.
  • Continuous Innovation: Explore new data sources and tools to enhance fraud detection architecture and process efficiency.

Skills

SAS/SQL
Excel
Python
Hive
Impala
Model governance
Communication

Education

Bachelor's degree in quantitative field

Tools

SQL

Job description

Skill is seeking a Fraud Analytics & Strategy Manager to design, execute, and scale data-driven fraud strategies across consumer, small business, and card portfolios. You will connect data, strategy, policy, and model risk management to safeguard the firm.

This role requires 5+ years in fraud analytics plus strong SAS/SQL, Excel, and Big Data tooling. The position supports a hybrid schedule with 3 days onsite weekly in Dallas/Irving (TX) and other listed locations.

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