We are looking for a Senior Risk Analytics Consultant with strong experience in Snowflake, SQL, Python, and credit risk analytics. You will work with a leading U.S. financial institution's unsecured lending portfolio, contributing to key strategy, risk policy development, A/B testing design, and data science modeling. This is an exciting opportunity to apply modern data platforms and machine learning in a high-impact business environment. Key Responsibilities: - Develop and refine credit risk policies for BNPL, POS lending, and credit card products. - Design A/B testing frameworks using DOE methodologies to improve risk strategy effectiveness. - Conduct deep policy and customer segmentation analytics for targeted acquisition. - Evaluate existing strategies, manage dashboards, and perform ad-hoc analytical work. - Build and maintain BI/reporting tools and dashboards using modern data stacks. - Present findings to both technical and non-technical stakeholders. - Guide and coach team members; collaborate with teams across geographies. Qualifications: - 4+ years of experience in Analytics or Data Science; 2+ years in Credit Risk or Marketing preferred. - Hands-on experience with SQL, SAS, Tableau, and strong proficiency in Python. - Experience with Snowflake or similar cloud data platforms is highly desirable. - Strong communication and presentation skills. - Bachelors or Masters in a quantitative field such as Engineering, Mathematics, Physics, or Finance.Vishal Kamitkar