Data Scientist - Credit Risk

What role you will play in team: Develop and implement machine learning models for credit risk assessment, improving the accuracy and efficiency of our credit scoring process.

What you will do: Leverage data to help reduce risk and improve decision-making in lending.

Key responsibility:

• Develop and implement machine learning models for credit risk assessment.
• Build and maintain data pipelines for credit risk data.
• Evaluate model performance and make improvements.
• Collaborate with other data scientists and engineers.
• Stay abreast of the latest advances in machine learning and artificial intelligence.
• Communicate technical findings to non-technical audiences.

Required Qualification and Skills:

• Master's or PhD degree in data science, statistics, computer science or related field.
• 1-3 years of experience in applying machine learning to credit risk problems.
• Strong programming skills in Python or R.
• Familiarity with various machine learning algorithms.
• Experience working with large datasets.
• Excellent communication and presentation skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for growth and development within a fast-growing FinTech company.
• Collaborative and innovative work environment.
• Access to cutting-edge technology.
• Flexible work arrangements.

A Day in the Life:Your day will involve data exploration, model development, and collaboration with other engineers and business stakeholders. You'll be constantly learning and improving existing credit risk models.