Job Role
To support the development and implementation of credit risk analytics, predictive models, dashboards, and market research by integrating credit and alternative data sources into actionable insights; while collaborating with business consulting teams to enhance credit decision-making and deliver value-added analytics solutions that align with client objectives and organizational strategy.
Main Responsibilities
- Analyze credit bureau data, financial transactions, and alternative data sources to extract actionable insights for credit risk and business strategy.
- Develop statistical models, dashboards, and visualizations to support risk assessment and portfolio monitoring.
- Assist in building and deploying traditional and machine learning models for credit scoring, alternative scoring, and collections analytics.
- Collaborate with the Business Consulting team to deliver data-driven recommendations tailored to client objectives.
- Contribute to pre-sales efforts by preparing insights, data summaries, and supporting technical discussions with clients.
- Ensure data accuracy, integrity, and compliance with relevant credit bureau and regulatory standards.
- Support the continuous enhancement of analytics products in alignment with market needs and organizational goals.
Requirements
- Minimum 3+ years in data analysis, financial modeling, or credit risk analytics.
- Proficiency in SQL, Python, R, Power BI, or Tableau for data analysis and visualization.
- Strong knowledge of statistical modeling, machine learning, and credit scoring.
- Experience in financial risk assessment, banking, multifinance, fintech, or credit bureau services.
- Ability to translate complex data into business insights for clients.
