Fraud Analytics & Strategy Manager (210813)

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

Candidates must work a hybrid schedule in one of these locations (3 days onsite weekly)

Pay: $63-65 / hourly as W2

The target hiring compensation range for this role is $63-65 / hourly as a W2 employee.

Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in a 401k plan with company match.

About the Role:

As a key member of the Fraud Analytics, Modeling & Intelligence team, you will design, execute, and scale data-driven fraud strategies to protect consumer, small business, and commercial credit card portfolios as well as retail banking products.

In an evolving threat landscape, you will leverage advanced analytics to detect emerging trends, optimize decision engines, and mitigate attacks across the full fraud lifecycle—including synthetic identity fraud, account takeover (ATO), and complex new attack vectors. You will act as a critical bridge between data, strategy, policy, and model risk management to safeguard the firm and its customers.

Key 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: Serve as a primary lead for Fraud Model Risk - partnering with modelers, external vendors, and internal validators across the model lifecycle (validation, ongoing performance 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, assess rule performance, and translate raw data into actionable insights for executive leadership.
• Regulatory Compliance & Technical Documentation: Package comprehensive analysis into technical documentation that meets regulatory guidelines and industry standards. Present model validation findings to senior management and supervisory authorities as required.
• Cross-Functional Leadership: Partner closely with Fraud Policy, Operations, Product, and IT teams to align fraud strategies with business growth, technology roadmaps, and incident management protocols.
• Continuous Innovation: Research and evaluate new data sources, analytical tools and technology capabilities to continuously enhance our fraud detection architecture and process efficiencies.

Qualifications & Skills

• Education: Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Economics, Data Science, or related field).
• Experience: 5+ years in fraud strategy, quantitative analytics, or risk management within financial services.

Technical Mastery:

• Intermediate to advanced proficiency in SAS or SQL for complex data manipulation, strategy monitoring, and performance assessments.
• Strong hands-on proficiency in Excel for data modeling and reporting.
• Experience working within Big Data environments (e.g., Python, Hive, Impala) and performing mathematical/statistical analysis on large datasets.
• Model Governance Experience: Demonstrated familiarity with model development, production deployment, and model risk governance frameworks.
• Communication & Influence: Proven ability to translate complex analytical findings into executive-ready presentations and interface confidently with regulatory auditors and senior leaders.

Preferred Qualifications (Strong Plus)

• Master's Degree in a quantitative or technical field.
• Domain Expertise: 2+ years of direct experience in the payments industry, particularly with credit card products, payment rails, Mastercard ecosystems, and associated fraud vectors.
• Project Management: Track record of driving cross-functional initiatives and managing system incident responses in a fast-paced environment.