Responsibilities

• Analyze data related to loan application funnels, customer behavior, and loan performance metrics.
• Identify patterns and trends in data that indicate potential areas for improvement in the lending process.
• Go beyond surface-level analysis to uncover underlying issues affecting loan performance and customer acquisition.
• Collaborate with cross-functional teams to interpret findings and recommend adjustments to risk policies or product features.
• Develop and maintain dashboards and reports that provide visibility into key performance indicators (KPIs).
• Present insights and recommendations to senior management, supporting data-driven decision-making.
• Work closely with the product and risk teams to implement changes that enhance the customer experience and improve loan performance.
• Stay informed about market trends and best practices in digital lending and data analytics.

Requirements

• Bachelor’s degree in finance, economics, data science, or a related field.
• 4+ years of experience in data analysis, preferably within the retail lending industry.
• Strong analytical skills with the ability to interpret complex data sets and identify actionable insights.
• Experience with data visualization tools (e.g., Looker) and statistical analysis software.
• Understanding of credit risk, loan products, and customer behavior in a digital lending context.
• Excellent problem-solving abilities and attention to detail.
• Strong communication skills, with the ability to convey complex findings to non-technical stakeholders.