Responsibilities:

1. Design, develop, and implement cutting-edge credit scoring models for individual borrowers.

2. Utilize statistical techniques, machine learning, and data analysis to enhance predictive accuracy.

3. Conduct in-depth analysis of credit data to identify trends and insights.

4. Collaborate with cross-functional teams to gather relevant data for model improvement.

5. Monitor model performance and recommend adjustments as needed.

6. Stay abreast of industry best practices and emerging trends in credit scoring.

7. Work closely with the Risk Management team to align credit scoring models with the company's risk tolerance.

8. Collaborate with IT and Data Engineering teams to ensure seamless integration of models into our lending platform.

9. Prepare comprehensive documentation for all credit scoring models, ensuring transparency and replicability.

10. Communicate model methodologies and results to both technical and non-technical stakeholders.

Qualifications :

1. Bachelor’s degree in Statistics, Mathematics, Data Science, or a related field.

2. Proven experience (5 years) in developing credit scoring models, preferably in a financial services environment.

3. proficient in statistical analysis tools and programming languages such as Python, R, or SAS.

4. Strong understanding of credit risk management principles and regulatory requirements.

5. Excellent communication skills with the ability to present complex concepts to diverse audiences.

Job Description

<!-- [if !supportLists]-->1. <!--[endif]-->Identify and approach credit worthy SME suppliers or vendors of large chain retailers that need working capital loans

<!-- [if !supportLists]-->2. <!--[endif]-->Convert potential clients to become borrowers

<!-- [if !supportLists]-->3. <!--[endif]-->Develop relationship with merchandising department of large chain retailers to source potential borrowers

Requirements

<!-- [if !supportLists]-->1. <!--[endif]-->Min. 6-year working experience in large chain retailers: grocery, general merchandise, dept. stores, or mini marts.

<!-- [if !supportLists]-->2. <!--[endif]-->Extensive network with merchandiser from large chain retailers

<!-- [if !supportLists]-->3. <!--[endif]-->Excellent communication (written and verbal) and presentation skills

<!-- [if !supportLists]-->4. <!--[endif]-->Bachelor degree from reputable university