Expected Credit Loss Model Officer

Job Description

Responsible for day-to-day activity in ECL reporting, model development, monitoring, and governance

Essential Duties and Responsibilities:

• Generate regular and ad hoc ECL reports to be made available for analysis and presentation to the internal Risk team and supporting functional units.
• Conduct data acquisition, data integrity assessment, variable selection, model construction, documentation, and implementation assistance to support model development activities for ECL models.
• Conduct model performance monitoring.
• Assist with user understanding and acceptance of models, including presentations to model users, stakeholders, managers, and oversight groups.
• Continuously broaden and deepen expertise in analytical methods.
• Perform User Acceptance Testing for new models to be implemented.
• Strong knowledge of various statistical tools (i.e., R programming, Python, etc.).

Educational Attainment

• Bachelor’s degree/University degree.
• A graduate of Statistics, Mathematics, Engineering, or a related course/degree is preferred.

Tools

• Python, R, or similar.

Skills

• Strong analytical skills.
• Strong oral and written communication as well as presentation skills.
• Python/R or similar programming or data management skills.

Experience

• Experience in risk at a financial services institution is strongly preferred.
• Experience in ECL model development is an advantage.

Job Description

Responsible for day-to-day activity in ECL reporting, model development, monitoring, and governance

Essential Duties and Responsibilities:

• Generate regular and ad hoc ECL reports to be made available for analysis and presentation to the internal Risk team and supporting functional units.
• Conduct data acquisition, data integrity assessment, variable selection, model construction, documentation, and implementation assistance to support model development activities for ECL models.
• Conduct model performance monitoring.
• Assist with user understanding and acceptance of models, including presentations to model users, stakeholders, managers, and oversight groups.
• Continuously broaden and deepen expertise in analytical methods.
• Perform User Acceptance Testing for new models to be implemented.
• Strong knowledge of various statistical tools (i.e., R programming, Python, etc.).

Educational Attainment

• Bachelor’s degree/University degree.
• A graduate of Statistics, Mathematics, Engineering, or a related course/degree is preferred.

Tools

• Python, R, or similar.

Skills

• Strong analytical skills.
• Strong oral and written communication as well as presentation skills.
• Python/R or similar programming or data management skills.

Experience

• Experience in risk at a financial services institution is strongly preferred.
• Experience in ECL model development is an advantage.