The company is looking to build credit risk and fraud models from the ground up and needs a data science leader to spearhead the development and implementation of advanced analytics and predictive modeling initiatives to drive business impact in a high-growth financial services organization.
Requirements
- 10+ years of experience in data science, with proven experience building and deploying predictive models in financial services.
- 2-5+ years of leadership experience building and scaling high-performing data science teams.
- Deep understanding of credit risk modeling, fraud detection, and financial regulatory requirements.
- Strong technical skills including advanced SQL, Python, and statistical modeling techniques.
- Proven ability to deliver measurable business impact through data-driven solutions.
Responsibilities
- Lead the development and deployment of credit risk, fraud, and predictive models for new and existing financial products.
- Oversee the end-to-end model lifecycle, including design, validation, deployment, monitoring, and continuous improvement.
- Ensure robust model governance, documentation, and adherence to regulatory standards.
- Mentor and grow a team of data scientists and analysts, providing technical guidance, career development, and performance feedback.
- Collaborate with cross-functional teams, including product, technology, and data, to integrate data science solutions seamlessly.
- Stay ahead of industry trends and emerging technologies to maintain a competitive edge in analytics capabilities.
Other
- Set the strategic vision and roadmap for data science initiatives aligned with business goals.
- Present insights and recommendations to executives, influencing strategic decisions and business outcomes.
- Exceptional project management, executive communication, and problem-solving skills.
- Ownership mindset with persistence in driving results and tackling complex challenges.
- Ability to travel as needed and adapt to hybrid or remote work arrangements.
