Senior Analyst, ECL Staging - Model Management and Analytics (4986)

TD•Toronto, ON

1d•CA$81,600 - CA$115,200•Onsite

About The Position

The Model Management & Analytics (MMA) team within the Model Development area is responsible for the development, maintenance, and execution of retail regulatory credit risk and Risk-Weighted Asset (RWA) reporting processes, as well as ongoing operations supporting expected credit loss provisioning under IFRS9. This role will work closely with the Model Implementation team, Loan Loss Analysis and Reporting team, Enterprise Risk Management and several other internal and external business partners. Key accountabilities include developing an in-depth understanding of the regulatory requirements of ECL reporting under IFRS 9, working proactively with multiple teams to gather requirements and support data migration for ECL data staging, and ensuring necessary inputs, including model risk parameters, are staged into the expected loss calculator (gCLAS) accurately and in a timely manner. The role also involves assisting the Credit Risk Forecasting and Allowance team by providing trend information on various inputs, ensuring periodic model updates and product system changes are captured in the staging process, and documenting assumptions, exclusions, and adjustments related to staging inputs. Additionally, the role supports the team with internal and external audit reviews and compliance attestations.

Requirements

Superior multi-tasking skills and the ability to work in a fast-paced, often deadline-oriented and dynamic environment.
Experience working in both operational and project environments.
Good interpersonal skills to build and maintain productive working relationships with various business partners across the Bank and at different levels of organization.
Strong problem-solving skills, ability to independently identify and solve problems in an effective and timely manner.
Strong communication skills (both written and oral).
Strong ability to manage productive relationships with business partners and stakeholders.
Experience with audit/regulatory/SOX reviews.
Have a good understanding of the basic drivers of retail credit risk, regulatory capital or ECL concepts.
Strong working knowledge with preferably three or more years of hands-on experience using SAS, SQL or Python.
High proficiency in Microsoft applications (Excel, Word, and PowerPoint).

Nice To Haves

Knowledge of IFRS and how it is applied would be an asset.
Undergraduate degree in Finance, Statistics, Economics, Computer Science or similar disciplines.
Postgraduate degree would be an asset.
PRMIA, GARP, CPA or similar accreditation is also considered an asset.
SAS Certification is considered as an asset.

Responsibilities

Develop an in-depth understanding of the regulatory requirements of ECL reporting under IFRS 9.
Work proactively with multiple teams to gather requirements and support the data migration work related to ECL data staging.
Work proactively and effectively with internal and external teams including MMA Model Implementation team, Enterprise Risk Management, and other supporting technology partners and ensure all the necessary inputs, including model risk parameters are staged into the expected loss calculator (gCLAS) accurately and in a timely manner.
Assist the Credit Risk Forecasting and Allowance team in analyzing the expected loss and provision estimates by providing trend information on various inputs.
Ensure periodic model updates and product system related changes are captured in the staging process without delays and issues.
Work with the Model Implementation team and technology support teams to understand and document the assumptions, exclusion and adjustments related to the staging of various inputs.
Support the team with internal and external audit reviews and compliance attestations.