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Equitable Bank

Offers personal and commercial banking services

Manager: Risk Data & Model Implementation

Quantitative RiskConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • A degree in Computer Science, Mathematics, Mathematical Finance, Statistics, Engineering, Finance, Economics, or an equivalent quantitative background.
  • At least 2 years of experience in risk model development or implementation at a bank or fintech, with expertise in the end-to-end risk model lifecycle.
  • Advanced database and programming skills in object-oriented programming languages, such as SQL and Python, and familiarity with Python Flask or FastAPI and Azure Cloud Services.
  • Knowledge of Basel AIRB CAR guidelines, OSFI Implementation Notes, and BCBS-239.
  • Knowledge of AIRB, IFRS 9, and ICAAP principles.
  • Ability to identify and raise key risks and provide senior management with viable options and recommendations to support effective decisions.

Responsibilities

  • Understand risk model needs and gather detailed requirements for model implementation and ongoing monitoring; translate requirements from Model Development and Risk Reporting into production implementation requirements for IT and business unit teams.
  • Work with Model Development, Risk Reporting, and IT to build an efficient model development stream that supports data-driven risk management.
  • Contribute to developing a Python-based solution for ongoing monitoring of AIRB, ICAAP, and IFRS 9 models.
  • Document model specifications, production data attestation, and AIRB model implementation details.
  • Test development and production data for model implementation to ensure accuracy and reliability.
  • Develop APIs and, in some cases, graphical user interfaces for applications including the model monitoring framework.
  • Collaborate with Model Development, Model Validation, and IT teams to ensure model implementation is correct and meets expectations.
  • Automate model implementation using technology to improve Risk Delivery.
  • Support end-to-end risk model testing to ensure accurate data flow through applications, models, and downstream processes, requiring understanding of the models and involved technologies.
  • Design, develop, maintain, and run processes to load and transform data from external sources.
  • Create, maintain, and run data pipelines to receive data from external data providers and supply data where needed.
  • Prepare summary statistics on external data, such as trends and completion rates, for stakeholders including Model Development and Model Validation.
  • Prepare ad hoc analyses to support model development, such as analyzing realized LGD trends over time.
  • Prepare and submit internal default and loss data to GCD.
  • Develop and maintain effective relationships with Model Development, Model Operation, Model Validation, Technology teams, and business units to support AIRB program success.
  • Escalate difficult or complex project-related client issues to the Senior Manager, Risk Data & Model Implementation, and/or senior leadership.

About the Company

Equitable Bank

Offers personal and commercial banking services

Preparing company summary.

Company size
51-200
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1970

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