Manager, Credit Data Science at Standard Bank - UK

, Gauteng, South Africa -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Credit Risk Modelling, Machine Learning, Data Analytics, Dashboard Creation, Model Governance, Process Improvement, Statistical Analysis, Quantitative Analysis, Communication Skills, Data Interpretation, Risk Management, Customer-Centric Analytics, Creative Problem Solving, Collaboration, Logical Reasoning, Providing Insights

Industry

Financial Services

Description

Company Description Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. Job Description To manage the optimal development, deployment, maintenance, and monitoring of high-quality credit risk models throughout the credit life cycle, upholding model governance standards. Apply innovative machine learning techniques, conduct customer-centric data analytics, and contribute to dashboard creation. Qualifications Type of Qualification: First Degree Field of Study: Mathematical Sciences, Risk Management, Analytics, Quantitative Studies Experience Required Credit Risk – BCB Risk & Corporate Affairs 8-10 years Be able to identify and implement process improvements in model development, deployment, and monitoring workflows within banking environments. 8-10 years Develop monitoring dashboards and effectively communicating analytical insights and KPIs to stakeholders. Ensuring adherence to model risk management and governance standards, ensuring compliance with regulations and internal governance requirements specific to credit risk models. Strong communication skills, particularly in translating technical modelling concepts into actionable insights for non-technical stakeholders, supporting decision-making. 8-10 years Experience in credit risk modelling, including development, enhancement, deployment, and monitoring of credit risk models across the credit life cycle and various portfolios. Experienced in the application of machine learning techniques specifically for credit risk modelling, enhancing predictive modelling accuracy. Experience and knowledge of client-centric data analytics, interpreting complex data sets for credit risk assessment, and leveraging alternative data sources. Additional Information Behavioural Competencies: Adopting Practical Approaches Articulating Information Developing Expertise Developing Strategies Documenting Facts Interpreting Data Providing Insights Technical Competencies: Collaboration Creative Problem Solving Data Analytics & Visualization Logical Reasoning Quantitative Analysis Statistical & Mathematical Analysis Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or [email protected]

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Responsibilities

Manage the development, deployment, maintenance, and monitoring of credit risk models throughout the credit life cycle. Apply innovative machine learning techniques and contribute to dashboard creation while upholding model governance standards.