Senior Risk Analytics Consultant ( Gen AI)

Lead and deliver moderately complex Risk Analytics initiatives including data aggregation, forecasting, reporting, and modeling to support credit risk decisioning and compliance.

Develop and maintain process production, data reconciliation, and model documentation ensuring alignment with risk policies, regulatory requirements, and governance.

Collaborate with cross-functional teams and mentor junior staff to achieve risk analytics goals and contribute to large-scale planning related to credit and personal lending risk analytics.

4+ years of experience in Risk Analytics or equivalent demonstrated via work experience, training, education, or military experience.

Experience in credit risk analytics, including credit strategy, modeling, forecasting, or data architecture.

Proficiency in programming/statistical tools such as SAS, SQL, VBA, Python, R, Tableau, or SAS Visual Analytics.

Advanced degree in quantitative disciplines like statistics, finance, engineering, or economics.

Experienced in credit risk analytics within consumer or small business lending environments, knowledgeable of credit card lending practices and credit risk drivers.

Strong ability to lead moderate to large projects, coordinate multiple stakeholders, and convert analytical insights into business strategies.

Skilled in developing monitoring frameworks, dashboards, and statistical risk evaluations using machine learning and predictive modeling techniques.