The role involves driving the data strategy for risk-based product offerings. The individual will define essential metrics, analytical frameworks, and data products to support risk decisioning at scale. Responsibilities include building and maintaining scalable data infrastructure to ensure metric reliability and visibility. The position requires establishing experimentation strategies to evaluate the impact of policy and model changes. Additionally, the role entails mentoring team members and setting technical standards for analytical problem-solving.

Candidates must possess at least 10 years of experience in data analytics, data science, or related fields. Required technical expertise includes deep proficiency in SQL and proficiency in Python. Applicants must demonstrate a track record of defining data strategy and building scalable data products. A Master’s degree in a technical field such as mathematics, statistics, economics, or engineering is considered a preferred qualification.