Data Scientist in Credit Risk Modeling

Join the forefront of data science as a Data Scientist specializing in Credit Risk Modeling. Contribute to predictive modeling efforts for unsecured personal loans in a flexible work setting.

This senior-level role involves leading the creation and validation of credit risk models to optimize lending business decisions. You will analyze complex datasets to improve model performance while ensuring compliance with regulatory standards. Collaborating with business operations, you will provide valuable insights into risk trends and guide model integration into strategies effectively.

Key Responsibilities:

• Develop predictive credit risk models, including PD and LGD

• Analyze internal and external data for model optimization

• Validate and monitor credit risk models routinely

• Work with teams to apply model insights in lending

• Document model development for compliance and governance

Requirements:

• Bachelor’s or Master’s in a quantitative field

• 5–7 years’ experience in credit risk in lending

• Strong knowledge of machine learning techniques

• Proficient in programming languages like Python and SQL

• Excellent problem-solving and communication skills

Leverage your analytical expertise in a challenging and rewarding credit risk data science role.
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