Join a Challenger At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions. We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.

If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity. The Manager, Risk Data & Model Implementation (“MDMI”) reports to theSenior Manager, Risk Data & Model Implementation (“SMRDMI”), and supports theSMRDMI, theSeniorDirector, Risk Data & ModelOperationsand other Senior Management concerning all aspects of Enterprise Risk Management (“ERM”) activities within the Bank under the aspects of Model Implementation (“MI”) with the risk management function. The Manager will play a crucial role in supporting the model implementation and riskdelivery, andshape its future in the Bank.

With the multidisciplinary nature of this role, the ideal candidate is expected to have a solid understanding of Credit Risk Model development and delivery, data management pipeline and their related technologies. The role will be accountable for delivering implementation specifications and conduct production data assessment for any model implementations for EQB’s Advanced Internal Ratings Based (“AIRB”) approach for Pillar I regulatory capital models, the Internal Capital Adequacy Assessment Process (“ICAAP”) for Pillar II credit risk models, for IFRS 9 provisioning. This role will play a crucial supporting role in building an efficient way to implement risk models and risk reporting data within Equitable Bank.

Model implementation and model monitoring(75%) Understand risk model needs and gather detailed requirements for model implementation and model ongoing monitoring. Translate gathered requirements from Model Development and Risk reporting team into production model implementation requirements for IT teams and Business Units teams.



Work with Model Development, Risk Reporting, and IT to build an productive model development stream that best supports data driven risk management in the Bank.

Contribute to the development of Model Monitoring solution used for ongoing monitoring of AIRB/ICAAP/IFRS9 models using python. Document model specifications, production data attestation, and implementation details of the AIRB models. Conduct thorough testing of development data and production data for model implementation to ensure accuracy and reliability.

Develop API and in some cases GUI for variousapplicationincluding the model monitoring framework. Collaborate with model development, model validation, and IT teams to ensure model implementation is correct and expected. Leverage leading-edge technology to automate model implementation to shape the future of Risk Delivery in the Bank Support risk models end-to-end testing to ensure the flow between variousapplicationfrom data to models and downstream processes is accurate and flawless.Design, develop, maintain, and run processes to load and transform data from external sources.

Create,maintainand run the data pipeline to receive data from external data providers and supply data were needed using cutting-edge technologies. Prepare summary statistics on external data (e.g., Prepare and submit internal default and loss data to GCD. Develop and maintain effective relationships with the model development, model operation, model validation, technology teams, and business units to ensure AIRB program success.

Escalate difficult or complex project-related client issues to Senior Manager, risk data & model implementation, and/or to senior leadership. Degree in Computer Science, Mathematics, Mathematical Finance, Statistics, Engineering, Finance,



Economics, or equivalent quantitative background. ~2+ years’ experience in risk model development or implementation at other Banks or Fintechs, with proven expertise in end-to-end risk model lifecycle. ~ Advanced database and programming skills in object-oriented programming languages (e.g., SQL, Python Programing) and familiarity with Python Flask/ FastAPI, Azure Cloud Services are required. ~ Knowledge of Basel AIRB CAR guidelines, OSFI Implementation Notes, and BCBS-239. ~ Ability to identify and raise key risks, and to provide Senior Management with viable options and recommendations to support effective decisions. ~ Solid and proven communication and presentation skills.

What we offer [For full-time permanent roles] Competitive discretionary bonus Medical, dental, vision, life, and disability benefits Generous vacation policy and personal days Virtual events to connect with your fellow colleagues A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience The incumbent will be working hybrid and in office time will be spent working from EQ Bank’s additional office space located at 2200-25 Ontario Street, Toronto, ON . Equity, Diversity & Inclusion EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check.

TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration.

📌 Manager, Risk Data & Model Implementation (Toronto)
🏢 EQ Bank | Canada's Challenger Bank
📍 Toronto