Risk Management - Data Scientist Lead - Vice President

Job Responsibilities

• Develop, enhance, and maintain analytics that provide management with clear visibility into emerging trends, portfolio performance, and the quality of originated accounts.
• Achieve a detailed understanding of key performance metrics, risk indicators, and profitability drivers, enabling delivery of actionable insights across the account lifecycle.
• Apply advanced analytical techniques, including machine learning and AI/LLM-based tools where appropriate, to support risk identification, trend analysis, and forecasting.
• Partner with senior team members and governance functions to ensure analytical approaches, models, and AI-driven insights are appropriately controlled, documented, and aligned with internal standards.
• Develop a working understanding of operational processes (e.g., underwriting, portfolio management, and transaction flows) to better assess portfolio behavior.
• Translate complex data into clear, concise insights and recommendations; prepare materials suitable for management-level presentations and risk discussions.
• Support cross-functional initiatives with Product, Technology, and Risk partners, contributing analytics and insights to inform strategic decisions.
• Conduct ad hoc analyses and deep dives into portfolio trends, emerging risks, or business questions, providing practical recommendations to Risk Management.
• Contribute to maintaining strong data quality and governance standards to ensure reliability and consistency of reporting and analytics.

Required Qualifications, Capabilities And Skills

• Bachelor’s degree in finance or economics or quantitative.
• Minimum 5 years Risk Management or other quantitative experience required.
• Background in statistics, econometrics, or other quantitative field required.
• Advanced understanding of SAS, SQL and AI/LLM.
• Ability to query large amounts of data and transform the raw data into actionable management information.
• Familiarity with risk analytic techniques.
• Strong analytical and problem-solving abilities.
• Strong written and oral communication skills.
• Experience delivering recommendations to management.

Preferred Qualifications, Capabilities And Skills

• MS degree and 5 years Risk Management or other quantitative experience preferred.