Credit Risk Analyst - Data Science

What role you will play in team: You will leverage your data science skills to build and improve credit risk models, using cutting-edge techniques.

What you will do: You will work with large datasets, develop predictive models, and contribute to enhancing the accuracy of our credit risk assessments.

Key responsibility:

• Develop and maintain advanced credit risk models using machine learning techniques.
• Analyze large datasets to identify patterns and predict credit risk.
• Collaborate with data engineers and credit risk managers to implement models.
• Evaluate model performance and identify areas for improvement.
• Stay updated with the latest advancements in data science and credit risk modeling.
• Document and communicate findings to stakeholders effectively.

Required Qualification and Skills:

• Master's degree in Data Science, Statistics, or a related field.
• Experience with machine learning algorithms (e.g., Logistic Regression, Random Forest).
• Proficiency in Python or R.
• Strong understanding of statistical modeling and data analysis.
• Experience working with large datasets and cloud computing platforms (e.g., AWS).
• Excellent communication skills.

Benefits Included:

• Competitive salary and comprehensive benefits.
• Opportunities for professional growth and skill development.
• A collaborative and innovative work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements.

A Day in the Life: A day could involve building and testing models, analyzing results, collaborating with the team, and attending workshops.