Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 

As a Risk Modeling Governance Associate within the Consumer and Community Banking - Risk Modeling team, you will play a crucial role in the establishment and upkeep of model performance monitoring data, as well as the development and maintenance of a model monitoring automation system. You will have the chance to collaborate with modeling teams, comprehend model monitoring requirements, and construct feasible end-to-end solutions. This role offers a great opportunity to utilize your technical skills, interact with stakeholders, and contribute to risk management in a dynamic environment.

Job responsibilities

Create and Maintain model performance monitoring data, development and maintenance of model monitoring automation system. The individual will also be responsible for adhering to the data governance policy with CCB Risk. Partner with modeling teams, understand model monitoring requirements and build viable end-to-end solution, including data sources, ETL, transformation and deployment. Engage stakeholders and consolidate partnerships to continuously understand model performance monitoring opportunities. Manipulate, analyze and resolve any data issues  Research multiple and diverse data sources, recognize relevant variables and data points, and transform them into metrics and attributes to creatively represent the business.

Required qualifications, capabilities, and skills

Minimum 3 years of relevant work experience  Hands-on practical experience in application development, testing, and operational stability Experience in application design and development using – PySpark, Python, SAS Experience on cloud computing platforms - AWS with an experience of using S3, Glue for data lake Good to have hands on experience in Tableau dashboard Good technical skills in ETL & Databases Very strong quantitative skills At a minimum, undergraduate degree in Engineering, Physics, Mathematics, or a quantitative science Excellent communications skills - verbal and written. Teamwork oriented - active collaborator and self-starting individual Strong organizational and project management skills. Risk and Control mindset. Ability to ask right questions and escalate issues to relevant stakeholders.

Preferred qualifications, capabilities, and skills
•   Formal training or certification in AWS

• Exposure to risk at a financial services institution would be an added advantage.