Senior Fraud Analytics Deployment Lead (Hybrid)

Skill; Dallas (TX); Hybrid; USD 90,000 - 110,000; Full time

Job summary

Skill is seeking a Lead Fraud Analytics Implementation Manager for a ~12-month contract with a hybrid work model (3 days on-site). Location spans Dallas/Irving, TX and other U.S. cities. The role combines data science, governance, and project leadership to deploy advanced fraud detection models into our enterprise fraud framework.

The ideal candidate will evaluate 4-5+ ML models, navigate MRM processes, and drive cross-functional deployment with risk executives and external partners.

Qualifications

• Data science background with ML algorithms and model performance metrics (ROC-AUC, Precision/Recall).
• Experience leading complex, multi-stakeholder deployments and model integration lifecycles.
• Direct experience navigating Model Risk Management (MRM) governance and approvals in financial services.
• Ability to analyze large transaction/risk datasets to drive decisions.

Responsibilities

• Benchmark, evaluate, and test fraud models; assess business value and ROI.
• Lead end-to-end deployment into the fraud ecosystem with MRM approvals.
• Direct cross-functional roadmaps combining data science and infrastructure requirements.
• Collaborate with fraud operations to integrate model scores into rules and payment pathways.
• Act as liaison between data science, external partners (e.g., Mastercard), MRM, and risk executives.

Skills

Data science

Project management

MRM compliance

Analytics

Job description

Skill is seeking a Lead Fraud Analytics Implementation Manager for a ~12-month contract with a hybrid work model (3 days on-site). Location spans Dallas/Irving, TX and other U.S. cities. The role combines data science, governance, and project leadership to deploy advanced fraud detection models into our enterprise fraud framework.

The ideal candidate will evaluate 4-5+ ML models, navigate MRM processes, and drive cross-functional deployment with risk executives and external partners.