Senior Data Scientist in Credit Risk

Join a dynamic startup as a Senior Data Scientist specializing in credit risk modeling. Utilize advanced analytics to enhance unsecured lending products in a hybrid work setting.

In this role, you will lead predictive model development and validation while collaborating with various business teams. With 5 to 7 years in a lending environment, your expertise in statistical modeling, Python, and SQL will be crucial. You will also mentor junior analysts and ensure effective communication with stakeholders, fostering an analytical culture.

Key Responsibilities:

• Lead development of predictive credit risk models

• Perform detailed analyses for model enhancement

• Back-test and monitor existing models

• Collaborate with business teams for model integration

• Guide junior analysts within the team

Requirements:

• Degree in Statistics, Mathematics, or related field

• 5–7 years in a lending setting

• Expertise in statistical modeling techniques

• Proficient in Python, R, or SAS; SQL knowledge required

• Robust communication and stakeholder management

Drive innovation in credit risk modeling with your analytical skills.
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