Senior Assistant Vice President - Credit Risk Strategy

Responsibilities Lead the development and execution of financial risk and fraud strategies supporting key business initiatives and rapidly evolving risk environments. Provide strategic oversight during high‑severity and time‑sensitive risk incidents, driving coordinated response and mitigation actions. Leverage advanced analytics, statistical modelling, and deep domain expertise to design scalable risk frameworks using large‑scale transactional and account‑level data. Own and optimize the end‑to‑end risk strategy and policy lifecycle: opportunity identification, strategy design, experimentation, deployment, governance, monitoring, and continuous improvement. Drive portfolio‑level risk management strategies across underwriting, fraud, credit, and money movement products while balancing risk, growth, and customer experience objectives. Partner with senior stakeholders across Data Science, Risk Operations, Product, Engineering, Finance, Compliance, and Analytics teams to influence strategic decisions and business outcomes. Lead segmentation strategy development, portfolio analytics, and performance deep‑dives to identify emerging risks and growth opportunities. Design and refine underwriting frameworks, credit limits, eligibility policies, and customer risk segmentation strategies. Establish scalable monitoring frameworks and governance processes to proactively manage portfolio trends, concentration risks, and segment‑level performance. Drive hypothesis‑led innovation and experimentation to improve approval rates, reduce losses, and enhance operational efficiency. Mentor and guide junior analysts and strategy team members, fostering analytical excellence and strategic thinking across the organization. Communicate complex analytical insights and strategic recommendations effectively to executive leadership and cross‑functional stakeholders. Requirements Extensive experience in risk strategy, credit policy, underwriting, fraud strategy, or financial analytics within financial services or fintech environments. Proven track record of leading large‑scale analytical initiatives and influencing strategic business decisions. Strong expertise in leveraging large datasets and advanced analytical techniques to solve complex business and risk problems. Advanced proficiency in SQL and Python for analytics, modelling, and strategy implementation. Deep experience in statistical modelling, forecasting, risk analytics, and experimental design. Strong business acumen with the ability to translate complex analytical insights into actionable strategic recommendations. Excellent executive communication, stakeholder management, and cross‑functional leadership skills. Experience operating in fast‑paced, high‑growth, and highly regulated environments. Demonstrated ability to mentor teams, drive collaboration, and influence senior leadership. Preferred Qualifications Bachelor’s degree in quantitative fields such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering. Master’s degree or MBA in a quantitative or business discipline preferred. Experience in financial services, fintech, banking, payments, or risk management domains. Exposure to money movement products, payment ecosystems, fraud operations, or lending platforms. Experience building scalable risk frameworks, governance models, and automated decisioning systems. Familiarity with modern data platforms, BI tools, and large‑scale experimentation frameworks. #J-18808-Ljbffr Jobtailor