Standard Bank : Bcb Credit Risk Graduate Programme

Learnerships Hub; Johannesburg; On-site; ZAR 300,000 - 400,000; Full time

Job summary

Une opportunité exceptionnelle s'offre à vous avec un programme de diplômés en gestion des risques de crédit. Ce programme de 18 mois offre une formation approfondie, des projets réels et des perspectives de carrière dans un environnement dynamique. En participant, vous développerez des compétences analytiques et techniques essentielles, tout en contribuant à la prise de décisions critiques en matière de crédit au sein de la Banque. Ce parcours est idéal pour ceux ayant un diplôme de niveau Masters ou Honours dans des domaines mathématiques ou informatiques.

Benefits

Mentorat et développement professionnel

Formation approfondie par des experts

Accès à des projets réels

Opportunités de réseautage

Qualifications

• Diplôme de Masters ou Honours requis.
• Connaissance en mathématiques, statistiques, ou science des données préférable.
• Aptitude pour l'analyse quantitative et gestion de portefeuilles.

Responsibilities

• Développer et maintenir des modèles de risque de crédit.
• Contribuer à la modernisation des stratégies de risque numérique.
• Analyser des données pour évaluer des stratégies de crédit.

Skills

Analyse de données

Modélisation du risque

Compétences en codage

Gestion de portefeuille

Visionnage de données

Education

Masters ou Honours en BSc / BCom

Tools

SAS

SQL

Python

Power BI

Qlik Sense

Job description

Are you ready to embark on an exciting career journey in Credit Risk within Business and Commercial Banking?

Our Graduate Program offers you the opportunity to gain hands-on experience in a dynamic and fast-paced industry.

Through a series of rotations, you will gain extensive experience in a wide range of analytical areas across South Africa and the African Continent.

Key areas of focus include:

• Credit Risk Modelling – Learn to develop and refine models that assess risk, guiding critical lending decisions.
• Digital Lending Strategies – Discover advanced techniques in credit scoring and automated lending strategies to improve lending outcomes.
• Lending Portfolio Management – Gain insights into managing diverse lending portfolios and optimizing performance.
• Data Management and Visualisation – Master the skills to manage large datasets and create compelling visualizations that drive business insights.

Why join Standard Bank?

• Comprehensive Training – Receive in-depth training from industry experts to build a solid foundation in credit risk.
• Professional Development – Access mentorship, networking opportunities, and resources to support your growth.
• Real-World Projects – Work on projects that have a tangible impact, helping you apply your knowledge and skills.
• Career Pathways – Our program opens doors to a rewarding career at Standard Bank.

During this 18-month program, you will have the opportunity to:

• Understand the Credit Risk Lifecycle – Gain comprehensive insights into each stage of the credit risk process and its impact on business operations.
• Enhance Coding Skills – Develop expertise in SAS, SQL, and Python to analyze data and create innovative solutions.
• Contribute to Digital Risk Modernization – Play a key role in updating and streamlining digital risk strategies.
• Develop and Maintain Credit Risk Models – Assist in creating, deploying, maintaining, and monitoring models that evaluate risk and guide lending decisions.
• Create Insightful Dashboards – Use tools like Power BI and Qlik Sense to craft data-driven dashboards for stakeholders.
• Optimize Credit Limit Setting Strategies – Support design and improvement of strategies for digital and automated lending processes.
• Monitor Credit Portfolios – Contribute to oversight and reporting for effective portfolio management.
• Perform Quantitative Analytics – Analyze data to evaluate current credit strategies and develop innovative challenger strategies.

Qualifications:

Masters or Honours in:

• BSc / BCom in Business Mathematics and Informatics (BMI), Mathematics, Statistics, Data Science, Actuarial Science, Computer Science, Engineering (Financial, Mechanical, Industrial, Electrical & Chemical), Operations / Operational Research, Risk Analysis / Analytics. Honours qualification to be completed by 31 December.

Note: The mention of 'J Ljbffr' and 'Create a job alert for this search' appears unrelated to the job description and is likely irrelevant.