Senior Model Development Analyst
4 weeks ago
Location: Hybrid - 2 days a week in Downtown Toronto office
Duration: 6 months with potential extension or conversion to FT
Overview
Our banking client is looking for multiple
Senior Model Development Analysts
to support credit loss allowance modeling and analytics (IFRS9/CECL) within the
Credit Risk Modeling
function. The role involves
developing and validating credit risk models , conducting performance monitoring, and supporting business-critical decisions in a high-pressure environment. The successful candidate will play a key role in regulatory interactions and model lifecycle management, particularly for
retail IFRS9/CECL models .
Must-Have Skills
7+ years of experience
in
credit risk model development and/or validation .
Strong expertise in
IFRS9 and CECL modeling
for credit loss allowance.
Proficiency in
SAS and Python
for model development, data wrangling, and quantitative analysis.
Advanced knowledge of
quantitative financial modeling, risk analytics, and data preprocessing .
Experience with
model risk management , regulatory capital, and stress testing.
Key Responsibilities
Credit Risk Modeling & Development
Lead the development and enhancement of IFRS9/CECL models for credit loss forecasting.
Conduct model performance monitoring and implement improvements as needed.
Support the end-to-end model lifecycle, including validation, implementation, and regulatory reporting.
Risk Analytics & Regulatory Compliance
Apply quantitative risk modeling techniques to assess credit risk exposure.
Collaborate with internal teams and regulators to ensure compliance with industry standards.
Provide documentation and regulatory reporting support for model governance.
Data Analysis & Business Support
Utilize Python, SAS, and other statistical tools for data wrangling and model development.
Conduct ECL decomposition to analyze the impact of macroeconomic changes, portfolio growth, and other risk factors.
Present findings to senior stakeholders and make data-driven recommendations for business decisions.
Apply
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