Eduvanz Financing - Head - Credit Risk Analytics

Head - Credit Risk Analytics - NBFC

The Head of Credit Risk Analytics is a key figure in ensuring the prudent management of credit risk in the education loan sector. By effectively assessing and managing credit risks, they help maintain the financial stability of the organization while enabling students to access educational funding.

1. Credit Risk Assessment:

- Lead the development and implementation of a comprehensive credit risk assessment framework to evaluate the creditworthiness of borrowers in the education loan sector.

- Utilize data analysis and predictive modeling techniques to assess credit risks.

2. Data Management:

- Oversee the collection, storage, and management of data related to loan applications, student demographics, and other relevant information.

- Ensure data quality and accuracy.

3. Credit Scoring and Modeling:

- Develop and maintain credit scoring models to determine creditworthiness and default probability.

- Continuously refine and update models based on evolving data and risk trends.

4. Portfolio Management:

- Monitor the performance of the loan portfolio, track default rates, and assess the quality of assets.

- Identify trends and patterns in loan performance.

5. Risk Mitigation Strategies:

- Develop and implement strategies to minimize credit risk, including underwriting guidelines, collection strategies, and loan restructuring options.

6. Compliance and Regulatory Alignment:

- Ensure that credit risk management practices comply with all applicable legal and regulatory requirements in the education loan sector.

7. Reporting and Communication:

- Prepare and present credit risk reports to senior management and board of directors.

- Communicate credit risk findings and recommendations to relevant stakeholders.

8. Credit Policy Development:

Collaborate with senior management to establish and update credit policies and guidelines.

9. Technology and Tools:

Stay current with technology and tools used in credit risk analytics, and implement necessary solutions to enhance risk assessment and management processes.

10. Team Leadership:

Lead a team of credit risk analysts and data professionals, providing guidance, training, and supervision.

Qualifications:

- A Degree in a relevant field, such as finance, economics, mathematics, or statistics, is typically required. A master's or advanced degree may be preferred.

- Several years of experience in credit risk analytics, preferably in the financial or education loan sector.

- Proficiency in data analysis and modeling tools, as well as strong statistical and quantitative skills.

- Knowledge of relevant regulations and compliance requirements in the education loan sector.

- Strong leadership and communication skills.