Senior Data Scientist (Risk)

Join our team as a Senior Data Scientist (Risk) where you will develop models, insights, and strategies to identify, assess, and mitigate credit and fraud risk. You will lead the development of underwriting capabilities, design predictive models, and uncover opportunities to improve portfolio performance. Collaborating closely with various teams, you will translate complex data into scalable risk solutions that drive growth while protecting the business. Additionally, you will mentor junior data scientists and analysts, establish best practices, and drive experimentation strategy and product innovation.

• Lead the development of underwriting capabilities, design predictive models to reduce fraud losses, and uncover opportunities to improve portfolio performance.
• Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain.
• Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization.
• Proficiency in SQL and Python for data manipulation, modeling, and automation
• Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders
• Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred
• Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential
• Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference)
• Experience building production-ready models and pipelines
• 5+ years of experience in data science, analytics, or related fields