Head – Risk and Compliance Analytics
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- 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