Haventree Bank is a private Canadian Schedule 1 bank specializing in alternative mortgage programs and insured GIC deposits. We help hardworking Canadians from coast-to-coast achieve homeownership by offering flexible mortgage solutions. Our insured GIC deposits offer competitive rates and are available through a variety of wealth management platforms.
About Haventree Bank
Headquartered in Toronto Ontario Haventree Bank (Haventree) is a mission driven alternative mortgage lender. The name Haventree is representative of the banks mission to help its customers find a place of refuge and to lay down new roots for the future. Haventree exists to be a catalyst of financial security and upward mobility for Canadians who are underserved by the traditional financial system.
Position Summary:
Reporting to the Director of Enterprise Risk Management the Senior Risk Analyst will own and drive critical risk quantification and analytics across Expected Credit Loss (ECL) provisioning Internal Capital Adequacy Assessment Process (ICAAP) climate risk and financial risk oversight. Working cross-functionally with Risk Management Treasury Finance and business units across the enterprise you will translate complex data into actionable insight for senior leadership and external stakeholders. This position requires strong financial and statistical modelling skills sound regulatory knowledge and the ability to independently research and find innovative solutions through applying new methodologies to solve problems
Major Duties & Responsibilities:
Expected Credit Loss Management: Own the end-to-end ECL process including model development and maintenance of PD LGD and EAD models qualitative and quantitative overlay analysis and IFRS 9 compliance.
Develop executive-level reporting analyze results and present outcomes to Senior Management.
ICAAP & Stress Testing: Develop execute and maintain stress testing frameworks for credit risk climate risk and other emerging risk scenarios as part of the annual ICAAP cycle. Communicate outcomes and participate in meetings with internal executives and external stakeholders.
Climate Risk: Monitor climate risk events that may impact the Banks portfolio. Conduct geospatial and scenario-based analysis using geographic risk and macroeconomic data to quantify physical and transition risk exposures and inform lending and operational strategy.
Risk Appetite & Limit Setting: Support the calibration of risk appetite limits by product and risk exposure providing data-driven recommendations that align with the Banks Risk Appetite Framework.
Financial Risk Oversight: Provide effective oversight and challenge of financial risk indicators received from Treasury including interest rate risk liquidity risk and capital risk metrics ensuring accuracy and alignment with the Banks risk appetite.
Data Analysis & Insights: Leverage advanced analytics platforms (e.g. Alteryx Dataiku Python Knime) to automate workflows analyze large and complex datasets and extract actionable insights focused on risk mitigation and financial performance.
Performance Monitoring: Monitor validate and fine-tune existing models and methodologies to ensure ongoing accuracy fairness and regulatory compliance.
Independent Research and Innovation: Independently explore and implement cutting-edge methodologies from academic research open-source communities (e.g. GitHub Kaggle) and industry best practices to drive team innovation and stay ahead of trends.
Regulatory Reporting & Disclosure Support: Contribute to the preparation of regulatory submissions and risk disclosures (e.g. OSFI returns B-15 climate disclosures Pillar 3) by working with stakeholders to provide data analysis and quality assurance.
Stakeholder Collaboration: Partner with Risk Management Treasury Finance IT and Business Operations to align model outputs and risk insights with strategic goals. Present findings clearly to both technical and non-technical audiences.
Qualifications & Experience:
Degrees Diplomas & Certifications:
A Masters degree in a quantitative field (e.g. Statistics Actuarial Science Data Science Financial Engineering or Analytics) or a Bachelors degree in data science machine learning or a related field requiring rigorous statistical knowledge and techniques.
Years and Range of Experience Required to Perform the Job:
5 years of hands-on experience in risk analytics credit risk modelling or a related quantitative role within financial services.
Strong experience with statistical and financial modelling methodologies (PD LGD EAD ECL stress testing).
Working knowledge of regulatory frameworks including IFRS 9 Basel ICAAP and OSFI guidelines (e.g. B-15 E-23).
Hands-on experience with cloud platforms like AWS including working with data lakes and scalable data processing tools such as Databricks.
Proficiency with analytics and automation tools (e.g. Alteryx Knime Python R).
Knowledge of credit risk or insurance frameworks and regulatory requirements (e.g. Basel IFRS 9 IFRS 17 ICAAP) with the ability to apply actuarial science concepts to credit and other emerging risk domains
Proficiency with tools like Alteryx and Dataiku for automating analytics workflows and enabling machine learning applications.
Experience in geospatial data analysis including working with QGIS and integrating raster and vector data to solve real-world business problems such as climate risk assessment and geographic optimization.
Familiarity with data visualization tools (e.g. Tableau Power BI) or libraries (e.g. Matplotlib ggplot2) to effectively communicate insights.
Experience in synthesizing data including generating synthetic datasets for model development.
Exceptional analytical and problem-solving skills with the ability to translate complex business problems into actionable technical solutions.
Ability to independently research new techniques and implement solutions using diverse resources.
Excellent communication skills with the ability to articulate their findings and recommendations clearly to both technical and non-technical stakeholders.
While we thank everyone for their interest in Haventree Bank please note that only candidates selected for an interview will be contacted. Haventree Bank is committed to providing accommodation when needed. If you require an accommodation we will work with you to meet your needs.
As a job candidate our recruitment process includes collecting personal information. Please click the link here to review our Privacy Policy.Privacy Statement Haventree Bank
Haventree Bank is a private Canadian Schedule 1 bank specializing in alternative mortgage programs and insured GIC deposits. We help hardworking Canadians from coast-to-coast achieve homeownership by offering flexible mortgage solutions. Our insured GIC deposits offer competitive rates and are avail...
Haventree Bank is a private Canadian Schedule 1 bank specializing in alternative mortgage programs and insured GIC deposits. We help hardworking Canadians from coast-to-coast achieve homeownership by offering flexible mortgage solutions. Our insured GIC deposits offer competitive rates and are available through a variety of wealth management platforms.
About Haventree Bank
Headquartered in Toronto Ontario Haventree Bank (Haventree) is a mission driven alternative mortgage lender. The name Haventree is representative of the banks mission to help its customers find a place of refuge and to lay down new roots for the future. Haventree exists to be a catalyst of financial security and upward mobility for Canadians who are underserved by the traditional financial system.
Position Summary:
Reporting to the Director of Enterprise Risk Management the Senior Risk Analyst will own and drive critical risk quantification and analytics across Expected Credit Loss (ECL) provisioning Internal Capital Adequacy Assessment Process (ICAAP) climate risk and financial risk oversight. Working cross-functionally with Risk Management Treasury Finance and business units across the enterprise you will translate complex data into actionable insight for senior leadership and external stakeholders. This position requires strong financial and statistical modelling skills sound regulatory knowledge and the ability to independently research and find innovative solutions through applying new methodologies to solve problems
Major Duties & Responsibilities:
Expected Credit Loss Management: Own the end-to-end ECL process including model development and maintenance of PD LGD and EAD models qualitative and quantitative overlay analysis and IFRS 9 compliance.
Develop executive-level reporting analyze results and present outcomes to Senior Management.
ICAAP & Stress Testing: Develop execute and maintain stress testing frameworks for credit risk climate risk and other emerging risk scenarios as part of the annual ICAAP cycle. Communicate outcomes and participate in meetings with internal executives and external stakeholders.
Climate Risk: Monitor climate risk events that may impact the Banks portfolio. Conduct geospatial and scenario-based analysis using geographic risk and macroeconomic data to quantify physical and transition risk exposures and inform lending and operational strategy.
Risk Appetite & Limit Setting: Support the calibration of risk appetite limits by product and risk exposure providing data-driven recommendations that align with the Banks Risk Appetite Framework.
Financial Risk Oversight: Provide effective oversight and challenge of financial risk indicators received from Treasury including interest rate risk liquidity risk and capital risk metrics ensuring accuracy and alignment with the Banks risk appetite.
Data Analysis & Insights: Leverage advanced analytics platforms (e.g. Alteryx Dataiku Python Knime) to automate workflows analyze large and complex datasets and extract actionable insights focused on risk mitigation and financial performance.
Performance Monitoring: Monitor validate and fine-tune existing models and methodologies to ensure ongoing accuracy fairness and regulatory compliance.
Independent Research and Innovation: Independently explore and implement cutting-edge methodologies from academic research open-source communities (e.g. GitHub Kaggle) and industry best practices to drive team innovation and stay ahead of trends.
Regulatory Reporting & Disclosure Support: Contribute to the preparation of regulatory submissions and risk disclosures (e.g. OSFI returns B-15 climate disclosures Pillar 3) by working with stakeholders to provide data analysis and quality assurance.
Stakeholder Collaboration: Partner with Risk Management Treasury Finance IT and Business Operations to align model outputs and risk insights with strategic goals. Present findings clearly to both technical and non-technical audiences.
Qualifications & Experience:
Degrees Diplomas & Certifications:
A Masters degree in a quantitative field (e.g. Statistics Actuarial Science Data Science Financial Engineering or Analytics) or a Bachelors degree in data science machine learning or a related field requiring rigorous statistical knowledge and techniques.
Years and Range of Experience Required to Perform the Job:
5 years of hands-on experience in risk analytics credit risk modelling or a related quantitative role within financial services.
Strong experience with statistical and financial modelling methodologies (PD LGD EAD ECL stress testing).
Working knowledge of regulatory frameworks including IFRS 9 Basel ICAAP and OSFI guidelines (e.g. B-15 E-23).
Hands-on experience with cloud platforms like AWS including working with data lakes and scalable data processing tools such as Databricks.
Proficiency with analytics and automation tools (e.g. Alteryx Knime Python R).
Knowledge of credit risk or insurance frameworks and regulatory requirements (e.g. Basel IFRS 9 IFRS 17 ICAAP) with the ability to apply actuarial science concepts to credit and other emerging risk domains
Proficiency with tools like Alteryx and Dataiku for automating analytics workflows and enabling machine learning applications.
Experience in geospatial data analysis including working with QGIS and integrating raster and vector data to solve real-world business problems such as climate risk assessment and geographic optimization.
Familiarity with data visualization tools (e.g. Tableau Power BI) or libraries (e.g. Matplotlib ggplot2) to effectively communicate insights.
Experience in synthesizing data including generating synthetic datasets for model development.
Exceptional analytical and problem-solving skills with the ability to translate complex business problems into actionable technical solutions.
Ability to independently research new techniques and implement solutions using diverse resources.
Excellent communication skills with the ability to articulate their findings and recommendations clearly to both technical and non-technical stakeholders.
While we thank everyone for their interest in Haventree Bank please note that only candidates selected for an interview will be contacted. Haventree Bank is committed to providing accommodation when needed. If you require an accommodation we will work with you to meet your needs.
As a job candidate our recruitment process includes collecting personal information. Please click the link here to review our Privacy Policy.Privacy Statement Haventree Bank