Data Scientist - Python/R

What Will Your Day Look Like

Risk Strategy & Leadership

• Lead a dynamic team in delivering high-impact risk solutions across credit risk domains including underwriting, exposure controls, and line management
• Collaborate with cross-functional stakeholders across product, data science, and engineering to drive implementation of risk strategies
• Build and maintain strong relationships with internal and partner teams for smooth execution of risk initiatives

Data-Driven Decisioning

• Analyze credit loss trends, simulate risk strategies, and recommend improvements to optimize revenue and approval rates
• Recommend and support deployment of credit risk decisioning and scoring models in collaboration with data science teams
• Build risk scorecards leveraging both internal and external data for use in underwriting and account reviews

Execution & Communication

• Manage timelines and ensure on-time project delivery under tight deadlines
• Identify and evaluate new data sources for improved credit risk differentiation
• Develop presentations and reports to communicate strategy and outcomes to leadership and senior stakeholders

To Help Us Level Up, You Will Ideally Have

• Quantitative degree in Engineering, Statistics, Mathematics, Economics, Business, or related fields
• 5+ years of experience analyzing data using SQL and tools like Python, R, or Databricks in a finance or analytics role
• 2+ years of experience leading high-performing analytics teams
• Strong analytical mindset with excellent problem-solving capabilities
• Experience working with non-traditional data sources (e.g., social media) is a plus
• Prior credit risk model building experience is beneficial but not mandatory
• Exceptional attention to detail and ability to multitask in a fast-paced, ambiguous environment
• Excellent communication and stakeholder management skills
• Proactive communicator with strong awareness of risk and fraud