OVERALL PURPOSE<\/p>\n
\tAs a Credit Risk Data Analyst, 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.
\n\tYour 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.<\/p>\n
KEY RESPONSIBILITIES:<\/p>\n
\tSupport 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.
\n\tMonitor and investigate book performance to drive growth and control credit risk.
\n\tReview and define data-driven credit risk policies, strategies, affordability design, test frameworks, offer terms and profit optimization.<\/p>\n
THE COMPETENCIES WE\u2019RE AFTER<\/p>\n
\tA passion to drive positive change in South Africa by growing small and medium enterprises
\n\tCuriosity supported by high levels of analytical thinking\/problem solving
\n\tStrong team player that helps us win as one.
\n\tCan work independently with high internal ambition.
\n\tData access, transformation and aggregation
\n\tData driven credit risk strategy design, deployment and tracking
\n\tModel development and monitoring will be beneficial
\n\tUnderstanding of credit risk management fundamentals
\n\tUnderstanding of small business lending will be beneficial<\/p>\n
THE EXPERIENCE WE\u2019RE LOOKING FOR<\/p>\n
\tMust have a numerical degree (e.g. mathematics, statistics, finance, data science).
\n\tMust have at least 2 years credit risk data analytics experience.
\n\tMust have at least 2 years experience in actively using SQL in data analytics
\n\tMust have at least 2 years experience in actively using Python in data analytics<\/p>\n
OUR TECH STACK<\/p>\n
\tAzure
\n\tSnowflake
\n\tDBT
\n\tPython
\n\tSQL
\n\tHex
\n\tGitHub<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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