Senior Manager

Credit Risk Reporting and Impairment Insights Analyst

3-6 years of experience

Credit Risk domain

Python

data analytics

Key Responsibilities

• Develop, automate, and maintain credit risk reports and dashboards using Python and visualization tools.
• Analyze credit risk metrics, portfolio trends, and key risk indicators to generate actionable insights.
• Extract, clean, and process large datasets from various risk data sources.
• Collaborate with risk teams to improve existing risk monitoring frameworks and enhance reporting automation.
• Ensure data accuracy, integrity, and compliance with risk governance standards.
• Work closely with business stakeholders to provide deep dives into portfolio performance and risk trends.
  

Required Skills & Experience:

• 3-6 years of experience in credit risk analytics, reporting, or risk monitoring.
• Hands-on expertise in Python (Pandas, NumPy, SQLAlchemy, etc.) for data manipulation and reporting.
• Experience with SQL for querying large datasets.
• Strong understanding of credit risk concepts, including delinquency, PD/LGD, and portfolio performance monitoring.
• Exposure to risk reporting frameworks and regulatory requirements (Basel, IFRS9, CCAR, etc.) is a plus.
• Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) for reporting and insights generation.
• Strong problem-solving skills and ability to communicate risk insights to stakeholders.
• Prior experience in automating reports and processes to improve efficiency.
  

Preferred Qualifications:

• Experience with cloud-based data platforms (AWS, GCP, or Azure) is a plus.
• Knowledge of credit bureau data and loan portfolio analysis.
• Familiarity with SAS or R (optional but beneficial).
  

Why Join Us?

• Opportunity to work on impactful credit risk reporting and analytics.
• Exposure to advanced risk management frameworks and data-driven decision-making.
• Collaborative work environment with opportunities for growth and upskilling.