What You Will Do:

Predictive Modeling

• Implement predictive models for residual value prediction, credit scoring, delinquency prediction, collections optimization, and pricing improvements.
• Deliver at least 2 use cases demonstrating successful predictive model implementation.

Dashboard and Metrics Development

• Create financial KPI metrics and risk dashboards using statistical techniques and data visualization libraries.
• Develop and maintain 3 comprehensive finance-related dashboards.

Financial Insights Generation

• Generate financial insights utilizing time series decomposition, anomaly detection, and stress testing techniques.
• Produce 3 actionable financial insights monthly.

Skills

Required Skills To Be Successful:

• Advanced statistical and machine learning expertise.
• Proficiency in Python, SQL, and data visualization tools.
• Strong problem-solving and critical thinking skills.
• Ability to communicate technical concepts to non-technical stakeholders.

What Qualifies You For The Role:

• Bachelor's/MSc in Statistics, Financial Analytics, Computer Science, or a related field.
• 5+ years of experience in data science and analytics.
• Hands-on experience with advanced statistics, machine learning, time series analysis and forecasting.
• Proficiency in Python, SQL, Databricks, and financial modeling and machine learning libraries.