SAS Data Modeling Expert - Credit Risk

We are looking for a hands-on data modeling expert to lead the onshore delivery of a transaction monitoring optimization engagement for a large US bank. The focus is reducing false positives in high-volume, low-conversion monitoring rules by moving from broad rule cutoffs to statistically grounded segmentation and classification models. You'll be the primary onshore point of contact and navigating the client's data environment, driving analysis, developing models, and coordinating a small offshore team, while keeping the work aligned to the bank's model risk governance standards.

• 6+ years in data science / quantitative modeling, with meaningful experience in financial services, banking risk analytics.
• Hands-on expertise building classification and logistic regression models for segmentation and risk scoring.