LOTO Manager implementing isolation procedures, audits, permits, and training for AtkinsRéalis’ Toronto transit infrastructure project. Ensuring safe construction and commissioning operations.
About the role
- Senior risk analytics manager developing AIRB and IFRS 9 credit models for EQ Bank, Canada’s Challenger Bank. Delivering risk insights, regulatory analytics, and AI-enabled risk management improvements.
Responsibilities
- Develop, enhance, and monitor credit risk models and analytical solutions supporting AIRB, IFRS 9, ICAAP, stress testing, climate risk, and portfolio risk management activities.
- Perform quantitative analysis, model calibration, validation support, annual reviews, performance monitoring, and risk assessments.
- Collaborate with Risk, Finance, Data, Technology, Audit, and Model Risk Management stakeholders.
- Contribute to robust data infrastructure for model development and analytics.
- Review data used in model development for required changes and improvements.
- Work with IT and business unit teams to implement and execute models and analyses for financial disclosure, regulatory reporting, and ad hoc analyses.
- Prepare model documentation, technical reports, and supporting materials for management, validation, audit, and regulatory reviews.
- Leverage Artificial Intelligence, machine learning, and automation technologies to improve model development, risk monitoring, reporting, operational efficiency, and decision-making.
- Ensure model development and analytical activities comply with internal policies, governance standards, and regulatory requirements.
- Lead complex analytical initiatives, drive methodological enhancements, support regulatory and audit activities, and deliver risk insights to senior management.
Requirements
- Master's degree or higher in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or a related quantitative field.
- 2+ years of experience in credit risk model development, model validation, quantitative analytics, or related areas within financial services.
- Strong knowledge of AIRB, IFRS 9, stress testing, ICAAP, or similar risk management frameworks.
- Advanced programming skills in Python and SQL.
- Experience with statistical modeling, machine learning, and data science techniques.
- Familiarity with Generative AI, AI-assisted analytics, or process automation technologies is strongly preferred.
- Strong technical documentation, presentation, and communication skills.
- Ability to independently manage complex analytical initiatives and deliver high-quality results with minimal supervision.
- All candidates considered for hire must successfully complete a criminal background check and credit check.
Benefits
- Competitive discretionary bonus
- Market leading RRSP match program
- Medical, dental, vision, life, and disability benefits
- Employee Share Purchase Plan
- Maternity/Parental top-up while you care for your little one
- Generous vacation policy and personal days
- Virtual events to connect with your fellow colleagues
- Professional development and comprehensive Career Development program
- Fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience
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