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