SAS Data Modeling Expert - Credit Risk

Tiger Analytics Inc. • Columbus, OH

3d

About The Position

Tiger Analytics is seeking a hands-on data modeling expert to lead the onshore delivery of a transaction monitoring optimization engagement for a large US bank. The role focuses on reducing false positives in high-volume, low-conversion monitoring rules by transitioning from broad rule cutoffs to statistically grounded segmentation and classification models. The individual will be the primary onshore point of contact, responsible for navigating the client's data environment, driving analysis, developing models, and coordinating a small offshore team, while ensuring adherence to the bank's model risk governance standards.

Requirements

• 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.
• Strong SAS proficiency for large-scale data analysis and modeling in a production/regulated environment.
• Direct experience with transaction monitoring, alert tuning, or scenario optimization.
• Familiarity with model risk governance and validation expectations in a regulated banking setting.
• Excellent stakeholder communication; able to explain modeling decisions to non-technical audiences and defend them to reviewers.
• Experience coordinating or reviewing work delivered by an offshore team.

Responsibilities

• Secure and validate access to the SAS environment holding historical transaction data.
• Profile historical alert and transaction data to quantify volume, conversion, and false-positive drivers across targeted rules.
• Lead deep-dive scenario analysis on priority areas (Zelle, cash monitoring) to identify opportunities for replacing broad cutoffs with risk-based segmentation.
• Design and build classification and logistic regression (logit) models to segment monitored populations and construct more precise risk scenarios.
• Translate analytical findings into defensible rule/scenario recommendations with clear rationale for thresholds and segment definitions.
• Partner with offshore resources, providing analytical direction, reviewing outputs, and ensuring consistency and quality.
• Ensure model logic, assumptions, and segmentation approaches align with the bank's internal risk governance standards.
• Prepare documentation and supporting evidence for review by the internal model validation team.
• Serve as the day-to-day onshore contact for the client, communicating progress, findings, and trade-offs to technical and business stakeholders.

Benefits

• Significant career development opportunities
• Opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment
• High degree of individual responsibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed