Collect, clean, and analyze collections and delinquency data.
Develop and maintain dashboards, reports, and visualizations to track collection performance metrics.
Identify trends, anomalies, and correlations within collection data to provide actionable insights.
Conduct root cause analysis to understand factors impacting delinquency rates and recovery efforts.
Support the development of data-driven strategies for portfolio management and collections optimization.
Collaborate with the operations team to deeply understand the collections process and have the ability to influence the ops.
Monitor key performance indicators (KPIs) such as delinquency rates, recovery rates, and aging metrics.
Provide monthly, quarterly, and ad hoc reporting on portfolio health and collection effectiveness.
Ensure data accuracy, consistency, and integrity across all analyses.
Stay updated on industry best practices and leverage advanced analytical tools and techniques
Qualifications
Bachelors /Masters degree in Engineering, statistics, operations research, Finance, Accounting, Economics, Data Science, or a related field
7+ years of experience in credit risk analytics
Proven experience in data analysis, preferably within collections, credit risk, or financial services.
Strong proficiency in analytics tools - Excel, SQL, Python, Tableau, or Power BI.
Excellent analytical, problem-solving, and critical-thinking skills.
Ability to interpret complex data and communicate insights effectively.
Knowledge of unsecured lending products and collections processes
Attention to detail and high level of accuracy.
Excellent written and verbal communication skills, including stakeholder and committee presentations
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full time