Description

You will develop and validate credit risk models and scoring systems.

This role is remote.

Responsibilities

• Analyze large datasets to identify trends and risk patterns.
• Support decision-making by providing data-driven insights.
• Collaborate with business and risk teams to define model requirements.
• Monitor model performance and ensure regulatory compliance.
• Prepare reports and present findings to stakeholders.

Required Skills

• 5+ years of experience in data science or statistical analysis.
• Strong proficiency in Python and R for data analysis.
• Advanced SQL skills for data extraction and manipulation.
• Deep understanding of statistics and machine learning algorithms.
• Experience with credit risk modeling and financial concepts.
• Knowledge of regulatory and compliance standards.
• Demonstrated analytical and communication skills.

Preferred Skills

• Any Graduate degree in a quantitative field.

Key Skills

Education

Any Gradute