Capital Bank N.A. is looking to build credit risk and fraud models from the ground up for their new unsecured card product to drive business growth and manage risk.
Requirements
- Advanced SQL
- Advanced Python
- Expertise building advanced statistical models
- 10+ years of experience in data science, with a strong track record of building and deploying predictive models in financial services
- Deep understanding of credit risk modeling, fraud detection, and regulatory requirements
Responsibilities
- Lead the development of new credit risk and fraud models from scratch to support the launch of our unsecured card business
- Own the model lifecycle—from design and development to deployment, monitoring, and continuous improvement
- Oversee model suite, monitoring for performance and identifying opportunities for improvement
- Ensure model governance and compliance, including documentation, validation, and adherence to regulatory standards
- Stay ahead of industry trends and emerging technologies to keep the team at the cutting edge
- Manage model delivery efforts, ensuring results are delivered on time and with quality
Other
- Set a bold vision and roadmap for data science, aligning with business objectives and growth priorities
- Influence executive decision-making by presenting insights and recommendations in a clear, compelling manner
- Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and performance feedback
- Foster cross-functional collaboration with product, technology, and data teams to ensure seamless integration of data science solutions
- Bachelor’s degree in a quantitative field (e.g. Statistics, Data Science, Applied Mathematics)
