Credit Analytics Risk Manager

HomeEquity Bank

• $110K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree and 7+ years in data analytics, preferably in financial services and risk management.
  • Proficient in MS Office and experienced with data visualization tools (Looker, Tableau, Power BI).
  • Knowledge of SQL, Python, Pyspark, and platforms like Databricks for data-driven insights.
  • Experience with financial, operational, and climate/geolocation data analysis is an asset.
  • Demonstrated experience in risk assessments and monitoring programs with clear communication of findings.

Responsibilities

  • Conduct comprehensive risk assessments and monitor Credit, Mortgage Lending, and Operations activities.
  • Build risk dashboards and produce analytical insights for management and Board reporting.
  • Develop and validate risk-based credit models using advanced analytics.
  • Evaluate new products and initiatives against the Risk Appetite Framework.
  • Review escalated credit cases and provide independent recommendations to leadership.
  • Enhance policies and frameworks for best practices in risk management.
  • Collaborate with business units to resolve audit and regulatory findings.

Benefits

  • Hybrid work environment with flexibility (3 days in-office).
  • Professional development opportunities and cross-functional collaboration.
  • High visibility and exposure to emerging risk disciplines like climate risk and analytics.
Full Job Description
POSITION SUMMARY:

Join HomeEquity Bank's growing Risk Management team and help shape the future of responsible lending in Canada's reverse mortgage market.

In this role, you will be a key driver in advancing the Bank's Credit Risk Management Program through data, analytics, and cross-functional collaboration, with expansion to areas like climate risk. As part of the second line of defense, you'll provide independent challenge, analytical insights, and strategic guidance that empower informed decision-making across the organization.

Beyond traditional risk activities, this position offers exciting exposure to emerging disciplines such as climate and geolocation risk analysis, reflecting the Bank's forward-looking commitment to regulatory compliance, sustainability, and innovation. You'll collaborate closely with teams across Product, Data & Analytics, and Operations to translate data-driven insights into actionable risk strategies that strengthen our portfolio and protect our customers.

Key Responsibilities:
  • Credit and Operational Risk Oversight - Conduct comprehensive risk assessments, control effectiveness testing, and monitoring activities across Credit, Mortgage Lending, and Operations.
  • Insightful Reporting & Data Visualization - Build and enhance data-driven risk dashboards using a combination of visualization tools, produce analytical insights for senior management and Board reporting.
  • Analytics Model Development and Validation - Perform risk-based credit model development and enhancement, validation of credit models and support analytic reviews leveraging SQL, Python, Pyspark or data visualization tools.
  • Product/Project & Initiative Risk Reviews - Evaluate new products, projects, and initiatives against the Risk Appetite Framework to ensure strategic and regulatory alignment.
  • Advisory & Challenge - Review escalated credit cases, perform enhanced due diligence, and provide independent recommendations to senior leaders on risk suitability.
  • Continuous Improvement - Strengthen policies, procedures, and frameworks to embed best practices in credit and enterprise risk management.
  • Issue Management & Audit Support - Partner with business units to address audit or regulatory findings using data and analytics, ensuring timely and sustainable remediation
  • Promote Risk Culture - Foster awareness and understanding of credit, operational, and fraud risk across the Bank through collaboration, communication, and training.
  • Drive Enterprise Risk Excellence - Support the execution and continuous improvement of the Bank's ERM framework to ensure consistency, transparency, and alignment with risk appetite and business strategy.
  • Innovation in Risk Practices - Contribute to cross-functional projects such as expanding GRC platforms or integrating new data domains, including geolocation and climate risk analytics.


SKILLS AND EXPERIENCE REQUIRED:

Qualifications
  • Bachelor's degree with 7+ years of experience in data and analytics, ideally within financial services with experience in risk management (Good-to-Have: Familiarity with OSFI regulatory frameworks (e.g., B-20, B-15, E-21, E-23) and practical experience applying them in a financial institution.
  • Advanced proficiency in MS Office, with experience using data visualization tools (e.g., Looker, Tableau, Power BI).
  • Working knowledge of SQL, Python and Pyspark and tools like databricks to support data-driven risk insights, and familiarity with using AI tools to improve code productivity.
  • Data Exposure: financial data, operation data and climate or geolocation data analysis considered an asset.
  • Proven experience designing, executing, and communicating risk assessments, monitoring, and testing programs.
  • Strong knowledge of credit life-cycle management and industry best practices in enterprise and credit risk.


Attributes for Success
  • Strong analytical and problem-solving mindset with high attention to detail; high intellectual curiosity with the aptitude to continuous learning.
  • Strong verbal and written communication skills, capable of presenting complex findings clearly and managing communications with sales, operations and products.
  • High professional integrity and collaborative spirit, with ability to manage multiple priorities with minimal supervision in a fast-paced environment.
  • Self-starter with a growth mindset, eager to learn and contribute to meaningful impact.


WORKING CONDITIONS UNIQUE TO JOB
  • Standard office environment (hybrid flexibility available, 3 Days in-office)
  • Opportunities for professional development, cross-functional collaboration, high visibility, and exposure to emerging risk disciplines such as climate risk, data analytics, and model governance.

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