Decision Scientist, Risk

For our client, we are seeking a Decision Scientist, Risk to join the team of a leader in the Finance & Insurance space. This role will help shape risk decisions that affect payments, review workflows, and loss performance across the business. You will partner closely with cross-functional teams to evaluate fraud patterns, improve decision accuracy, and test new approaches using data and experimentation. The position calls for strong analytical judgment, technical depth, and a hands-on approach to improving risk strategy in a fast-moving, data-driven environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $100,000 – $120,000 annually Responsibilities Monitor and analyze payment risk rules and review strategies Examine customer data to identify false positives in reviews Develop risk segments to enhance decision accuracy Recommend changes to risk rules within loss parameters Design experiments for new risk features and strategies Investigate fraud patterns and make actionable recommendations Measure the impact of risk changes on review rates and losses Qualifications 2-3 years of experience in risk analytics, fraud strategy, payments risk, or a similar role Proficiency in SQL for analyzing large data sets Strong Python skills for data analysis and automation Experience with risk management techniques and machine learning models Understanding of false positives and risk-based decision-making principles Strong analytical judgment when working with incomplete or imperfect data Benefits Opportunity to work in a data-driven environment Collaborative cross-functional team culture Use of cutting-edge AI and automation tools Hands-on role with significant influence on decision-making Career development opportunities in a growing company Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.