Analyst, Quantitative - Model Validation at Standard Bank Group

Job Description

• Perform initial and ongoing validations of interest rate risk, earnings at risk, economic capital, stress testing and operational risk models.  
• Think critically and manage Model Risk for the aforementioned models.
• Perform initial and ongoing validations of interest rate risk, earnings at risk, economic capital, stress testing and operational risk models. 
• Think critically and manage Model Risk for the aforementioned models.
• Interact with Model Development to obtain additional clarity on the models that are being validated.
• Perform model validation tasks according to the team’s operating standards.
• Identify, make recommendations, and assist to improve the validation methods and processes.

Qualifications

• 4-year degree in a quantitative field of study for example: Business Analytics; Quantitative Risk Management; Statistics; Financial Mathematics; Engineering; or Physics.

Experience required:

• >3 years’ Demonstrable ability to develop statistical models from data and/or analytical models to estimate capital (unexpected losses), expected losses.
• > 3 years’ Experience with using tools such as Python, SAS, Power BI or R to develop and execute models.
• Seasoned professional with sound knowledge on regulations affecting banking especially internal model approaches for risk capital.
• > 3 years’ experience in model risk management practices in banking spanning data preparation, development, documentation, validation, approval, usage and monitoring.

Additional Information

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Producing Output
• Providing Insights
• Taking Action
• Team Working

Technical Competencies:

• Data Analysis
• Data Integrity
• Documenting
• Knowledge Classification
• Statistical & Mathematical Analysis