Senior SAS Data Modeler: Transaction Monitoring & Risk

Tiger Analytics; North Carolina; On-site; USD 120,000 - 180,000; Full time

Job summary

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 by moving from broad rule cutoffs to statistically grounded segmentation and classification models.

You will be the primary onshore contact, navigate the client's data environment, drive analysis, develop models, and coordinate a small offshore team while ensuring alignment with the bank's

Qualifications

• 6+ years in data science / quantitative modeling in financial services.
• Hands-on expertise building classification and logistic regression models.
• Strong SAS proficiency for large-scale data analysis and modeling.
• Direct experience with transaction monitoring, alert tuning, or scenario optimization.
• Familiarity with model risk governance and validation expectations in banking.
• Excellent stakeholder communication; able to explain modeling decisions to non-technical audiences.
• Experience coordinating or reviewing work delivered by an offshore team.

Responsibilities

• Discovery & data analysis: access SAS environment holding historical data and profile ~12 months of data.
• Model design & development: design and build classification and logit models; translate findings into recommendations.
• Governance & stakeholder alignment: ensure model logic aligns with risk governance; prepare documentation; onshore client liaison.

Skills

Data modeling

Logistic regression

Classification modeling

Stakeholder communication

Offshore coordination

Regulatory experience

Tools

SAS

Job description

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 by moving from broad rule cutoffs to statistically grounded segmentation and classification models.

You will be the primary onshore contact, navigate the client's data environment, drive analysis, develop models, and coordinate a small offshore team while ensuring alignment with the bank's