Credit Scoring Modeler

What role you will play in team: You will be a key contributor to building and maintaining robust credit scoring models that inform lending decisions.

What you will do: You'll develop, validate, and monitor models using statistical techniques and large datasets.

Key responsibility:

• Develop and implement statistical credit scoring models using various techniques (e.g., logistic regression, decision trees).
• Validate model performance and ensure accuracy and reliability.
• Monitor model performance over time and make necessary adjustments.
• Collaborate with data scientists and business stakeholders to refine models and incorporate new data sources.
• Prepare reports summarizing model performance and insights.
• Stay up-to-date on the latest advancements in credit scoring and statistical modeling.

Required Qualification and Skills:

• Master's degree in statistics, mathematics, or a related quantitative field.
• 3-5 years of experience in developing and implementing credit scoring models.
• Strong programming skills in languages such as Python or R.
• Proficient in statistical modeling techniques.
• Experience working with large datasets.
• Excellent communication and presentation skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge credit scoring technologies.
• Collaborative and data-driven work environment.

A Day in the Life: Your day will involve developing, validating, and monitoring credit scoring models, collaborating with stakeholders, and staying updated on industry best practices.