Paysafe is seeking a Director of Consumer Risk Data Science to leverage data analytics, machine learning, and predictive modelling to optimize risk management solutions for consumer payments. This role involves leading a team, driving strategy development, and collaborating with cross-functional teams to ensure compliance and innovation in a fast-paced global payments environment. The ideal candidate will have a strong background in data science and fraud analytics, with a focus on proactive risk mitigation and innovation.
Requirements
- At least 10+ years of experience in data science, risk management, or fraud analytics
- 5+ years of leadership experience managing cross-functional teams
- Exceptional leadership, mentoring, and team management skills
- Strong proficiency in data analytics and modelling tools (e.g., Feedzai, AWS Sagemaker, Python, SQL, Spark etc.)
- Strong analytical and problem-solving skills with a focus on actionable outcomes
- Expertise in risk management, fraud detection, and financial crime prevention
- Familiarity with global payment systems, e-commerce platforms, and financial technologies
- Strong understanding of regulatory requirements and industry standards
Benefits
- Competitive remuneration and social benefits package
- Flexible working model
- Training and development opportunities