Fraud Analytics & Strategy Architect

Aquent; Dallas (TX); Hybrid; USD 87,000 - 90,000; Full time

Benefits offered by this job

Medical health insurance and dental

Life insurance

401k with company match

Job summary

Aquent in Dallas, TX is seeking a Fraud Analytics, Modeling & Intelligence specialist to design, test, and scale data-driven fraud strategies across consumer, small business, and banking products. This hybrid role requires three onsite days weekly and pays $63–65 per hour as a W2 employee.

Lead rule design and model risk lifecycle oversight; perform analytics with SAS, SQL, and Python; and translate findings into regulatory-ready documentation for senior leaders.

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.

Responsibilities

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

Skills

SAS

SQL

Python

Excel

Regulatory reporting

Communication

Education

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or related field

Tools

Hive

Impala

Job description

Aquent in Dallas, TX is seeking a Fraud Analytics, Modeling & Intelligence specialist to design, test, and scale data-driven fraud strategies across consumer, small business, and banking products. This hybrid role requires three onsite days weekly and pays $63–65 per hour as a W2 employee.

Lead rule design and model risk lifecycle oversight; perform analytics with SAS, SQL, and Python; and translate findings into regulatory-ready documentation for senior leaders.