• Own the end-to-end design, maintenance, and continuous optimization of risk strategy frameworks, decision policies, and rules to meet ambitious business and loss goals. • Use advanced analytics, SQL, Python, and statistical methods to solve complex problems, discover emerging risk trends, and inform high-impact decisions across the company. • Partner closely with Product, Engineering, Data Science, Finance, and Risk Operations to translate business needs into scalable, data-driven strategies and ensure successful execution. • Drive the development, maintenance, and refinement of risk strategy frameworks and complex rules to achieve ambitious business goals. • Detect anomalies and evolving fraud trends, write risk rules targeting fraud patterns, and closely monitor the solution performance. • Present strategies, findings, and recommendations to merchants and internal leadership, translating advanced ACH, risk, and fraud concepts into clear narratives that drive confidence, alignment, and action. • Master large volumes of data; extract and manipulate large datasets using standard tools such as SQL and Python. • Develop flexible performance dashboards and monitoring tools using platforms like Quicksight to provide clear, actionable insights to a variety of audiences and senior leaders. • Plan and measure experiments (A/B and multivariate tests) to analyze the incremental value of new intelligence feeds and transform test results into actionable business insights.