Head – Risk and Compliance Analytics

Job Description: • Oversee the design, development, and optimization of risk scoring models to assess and predict potential risks and compliance associated with financial transactions. • Implement performance monitoring mechanisms to evaluate the effectiveness of risk scoring models and decision strategies, making necessary adjustments for continuous improvement • Develop and implement decision strategies that balance risk mitigation with business objectives, ensuring efficient and effective decision-making processes • Provide strategic leadership to the Risk Scoring and Decision team, driving the development and enhancement of risk models and decision strategies • Collaborate with cross-functional teams, including Product, Technology, and Compliance, to integrate risk scoring and decision strategies into business processes and systems • Ensure that risk scoring models and decision strategies comply with industry regulations and standards, working closely with legal and compliance teams • Utilize advanced data analysis techniques to identify trends, patterns, and anomalies in data that may impact risk assessments and decisions. • Communicate risk insights, findings, and recommendations to executive leadership and other stakeholders, providing guidance on risk-related matters. • Build, nurture and develop a high performing team ensuring a culture of continuous improvement and collaboration • Ensure compliance with risk management practices through knowledge and understanding of regulatory and partner stakeholder requirements • Implement Risk and Compliance data dashboards to drive insights and business decisions Requirements: • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or related discipline; advanced degree preferred. • 15+ years of experience in risk management, fraud risk modeling, decision sciences, or related fields within the financial services industry. • Strong proficiency in data science, statistical analysis, quantitative modeling, and programming languages such as Python, SAS, or similar tools. • Ability to effectively pull and interpret data using strong analytical skills, making informed decisions in a dynamic environment • Ability to effectively communicate risk insights, findings, and recommendations to various stakeholders and executive leadership • Expertise to apply strategic thinking to develop and implement risk strategies aligned with organizational goals • Demonstrate ability to juggle multiple projects simultaneously & effectively Benefits: • Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities Apply tot his job