The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. The individual will collaborate with cross-functional teams (including risk analysts, data engineers, and model validation specialists) to ensure a seamless transition of critical risk modeling processes to a modern, automated, and compliant Python environment.