Credit Risk Data Scientist

ZA·Cape Townmid

Data & AIRisk Data Scientist

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Support the development and enhancement of credit models used to inform the funding decision. These include scorecards, affordability, pricing models, take-up models and profit models.

Technical Tools

Data & AIRisk Data Scientist

As a Credit Risk Management Data Scientist, you will play a pivotal role in analysing and defining the credit risk strategies and driving growth initiatives for Lula. Working within a high-impact team, you will support three core verticals (Credit Modeling, Credit Risk Strategy, and Credit Insights) to transform complex data into actionable intelligence.

Your primary mission is to design, deploy, and modernize the sophisticated credit risk models and strategies that drive our funding decisions, ensure regulatory compliance, and maximize profitability across the credit lifecycle.

Responsibilities

~1 min read

→Support the development and enhancement of credit models used to inform the funding decision. These include scorecards, affordability, pricing models, take-up models and profit models.
→Monitor and investigate book performance to drive growth and control credit risk.
→Review and define data-driven credit risk policies, strategies, affordability design, test frameworks, offer terms and profit optimization.

Must have a numerical degree (e.g. mathematics, statistics, finance, data science).
Must have at least 2 years credit risk data analytics experience.
Must have at least 2 years experience in actively using SQL in data analytics
Must have at least 2 years experience in actively using Python in data analytics