Requisition ID: 229553

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Under IFRS9, the banking industry is evolving and progressing towards advancing advanced forward-looking model for quantifying credit losses. The successful candidate will join the GRM Provisions team to support the Retail provision implementation, production and financial reporting under the approved provisioning methodologies that comply with the new IFRS 9 requirements. As Business and model users, the GRM Retail Provision Methodology and Models team will manage all Retail IFRS 9 Provision Reporting Analytics & Financial reporting requirements.   

Is this role right for you? In this role, you will:

• Support and manage all external EUC ECL measurement implementation, data acquisition and data ETL processes and controls.
• Assist and support all technical code implementation into the Production environment and Model Development and Management Platform (MDMP), business acceptance  testing (BAT)  in EDL, CPP and Financial Reporting and Disclosures:
  • Manage and execute the technical production code implementation and BAT in EDL and CPP
  • Execute and document results of test cases for unique model configurations across workflow including forward looking adjustments and ECL calculations

• Qualitative Adjustment (QA) analysis methodology:
  • Manage review and document all quantitatively derived QA measurement including FLA flooring integrating the FLI model output to the IFRS 9 impairment estimates

• Troubleshoot and optimize all production code implementation and execution.

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

• Advanced degree in Economics, Finance, Statistics or other related quantitative discipline. Professional designation is beneficial (e.g., CPA, CFA, FRM).
• 3+ years’ experience in credit risk modeling or operational reporting for either retail or wholesale products
• Working knowledge of regulations and current regulatory issues related to stress testing, capital requirements and risk management. (e.g., CCAR, Basel)
• Excellent application development and coding skills. Ability to synthesize modeling and measurement requirements and translate into modular or object oriented codes and sub routines (Python, R)
• Strong data organization and adept at manipulating large amounts of data (Advanced MS Excel/Access, SQL)
• Strong Quantitative modeling skills (e.g., advanced statistical models, econometric models)
• Strong Communication skills (written & verbal), Spanish would be an asset.
• Previous experience in model governance, internal audit would be an asset

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.