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Wesbank

7 months ago

Data Scientist, Credit Risk – Impact & Modelling

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Company information

Company
Wesbank
Location
South Africa, Gauteng, Johannesburg South Africa
Posted
7 months ago
View all jobs at Wesbank

Job description

A leading South African financial institution is looking for a Data Scientist III to enhance their credit risk capabilities. You will develop innovative analytical solutions, maintain statistical models, and collaborate with stakeholders to optimize business outcomes. Ideal candidates will possess a degree in Mathematics or Statistics, along with 6-8 years of experience in Data Science within the Credit Risk sector. Strong skills in SAS and SQL are essential, reflecting a commitment to quality and attention to detail. The successful candidate will be expected to work closely with cross-functional teams, including data engineers, data analysts, and business stakeholders to drive insights and inform strategic decision-making. Key responsibilities include: • Developing and maintaining statistical models using SAS and SQL; • Collaborating with stakeholders to identify business needs and develop solutions that meet those needs; • Conducting exploratory data analysis and creating visualizations to communicate findings; • Maintaining a deep understanding of credit risk concepts, regulations, and industry trends; • Staying up-to-date with new tools, techniques, and methodologies in the field of Data Science. Requirements: • A degree in Mathematics or Statistics; • 6-8 years of experience in Data Science within the Credit Risk sector; • Strong skills in SAS and SQL; • Experience working with large datasets and performing data analysis; • Excellent communication and collaboration skills; • Ability to work independently and as part of a team. Benefits: • Opportunity to work on high-impact projects that drive business outcomes; • Collaborative and dynamic work environment; • Professional development opportunities, including training and mentorship programs; • Competitive salary and benefits package.

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