Manager, IFRS9 Modelling - 6 Month Contract

Requisition ID : 201547

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

As Manager, IFRS 9 Modelling, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for retail portfolios.

You will ensure specific goals, plans, and initiatives are executed and delivered in support of the team’s business strategies and objectives.

You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

What you’ll do in this role?

You will report directly to a Senior Manager and be a critical member of the team working on re-development of Canadian Retail Loss Given Default (LGD) models.

With access to a modern machine learning stack that includes open-source development environments, you will assist in model development, implementation, and maintenance as we update models and methodology in conjunction with the roll-out of LGD Parameter Rebuild Project.

You will collaborate, on a regular basis, with a wide range of stakeholders and internal / external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.

Job Responsibilities :

Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge

Develops credit risk models for the retail portfolio that anticipate probability of default or loss given default for IFRS 9 provisioning and financial reporting

Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation

Assists the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes

Works with stakeholders and technology partners to implement and examine the models in user acceptance testing and production environments

Conclude how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

Actively pursues effective and efficient operations of his / her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML / ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML / ATF Global Handbook and the Guidelines for Business Conduct

Job Requirements :

Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline

Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline

Experience with Python or R including data processing with pandas or dplyr

Excellent communication skills and the ability to socialize with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data

The candidate must demonstrate the ability to quickly grasp and cover new concepts and technologies

Experience with Linux or UNIX systems and version control software such as Git is required

Domain expertise in retail credit risk and IFRS 9 is great asset but not mandatory

Experience with sparklyr or pyspark for data wrangling is a great asset but not mandatory

Experience with ggplot2, matplotlib, plotly, or seaborn for data visualization is a great asset but not mandatory