Senior Risk Analyst

Main Purpose Statement

The primary purpose of this role is to contribute to the management of Credit Risk by providing information and analytical support for the effective monitoring and control of risk exposure for an assigned portfolio, including a key focus on the IFRS 9 portfolio and related reporting

Key Responsibilities

• Automation and maintenance of risk reports as part of the monthly risk reporting processes
• Maintain, update and enhance IFRS 9 provisioning and key forecasting models, including backtesting of IFRS 9 models.
• Align risk reporting to meet Shareholder requirements
• Coach analysts within the areas of modelling and report production
• Deliver insight into key drivers of impairments including underlying arrears performance and movements in expected credit loss
• Investigate data integrity issues, test assumptions and validate analytical results, ensuring accuracy and sensitivity of findings
• Ensure there is an effective suite of reports which explains key drivers of Credit Loss Forecasting
• Attend, when required, relevant forums and committees
• To identify and deliver opportunities to enhance the key processes in relation to accuracy, efficiency, controls and insight

Key Competencies

• Business acumen
• Numeric and analytical skills
• Strong understanding of the business’ processes and ways in which to continuously improve them
• Clarity and simplicity of communication
• Strong presentation skills (written, verbal and presentation-related)
• Articulate, rational, coherent and persuasive
• Disciplined, business focused delivery and impact-astute
• Effective relationship management and collaboration skills

Qualifications, Skills and Experience

• Bachelor’s qualification in Commerce, Science, or Humanities with a focus on Statistics, IT, Economics, Mathematics, or similar
• Minimum of 3 years’ experience/proficiency in the following:
• Credit risk analysis on lending products
• IFRS9 provisioning methodologies and/or impairments modelling and reporting
• Preparation of data-driven credit policy recommendations for senior management
• Data manipulation and analysis using SAS, SQL, or other data analysis tools
• Financial and/or Retail Credit experience – advantageous