Senior Risk Analyst – Modeling & Risk Management

Dayforce

Senior Risk Analyst designing AI-augmented credit risk processes for Purpose Unlimited's financial services. Joining a team focused on innovation and building rigorous governance framework for risk management.

Posted 7/28/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$90,000 - CA$110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and validating ML models within credit risk contexts, with a strong focus on governance frameworks and regulatory compliance. Capable of translating complex quantitative analyses into actionable insights for stakeholders while ensuring accountability in AI-driven processes.

Highest-signal resume keywords

Credit Risk AnalysisMachine Learning Model GovernancePython ProficiencySQL ProficiencyRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Model ValidationQuantitative Risk AnalysisData WarehousingCollections Strategy OptimizationScorecard DevelopmentOffer Assignment Modelling

Soft Skills

Clear CommunicationStakeholder Engagement

Tools & Technologies

AI ToolingAnalytical Workflows

Industry Keywords

Financial ServicesBankingFintechLendingCanadian Regulatory EnvironmentOSFIFCAC

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and build the governance framework for ML models – accuracy, bias, regulatory defensibility, escalation protocols
Bring the human judgment no model can replace – and build it into how the function operates
Build risk strategies designed to improve as AI tooling matures – feedback loops, validation cadences, human checkpoints
Establish how risk intelligence becomes business decisions – the protocols that connect model outputs to action
Design the safeguards in from the start – bias, failure modes, regulatory exposure – during the build, not after
Be the human anchor in a function being redesigned around AI – ensuring accountability and strategic value scale with automation.

Requirements

What you’ll need

2–5 years in credit risk, quantitative risk, or risk analytics within financial services (banking, fintech, or lending)
Demonstrated experience building or validating ML models in a credit or risk context – not just using them
Strong proficiency in Python and SQL; hands-on experience in modern data warehousing environments
Proven ability to translate complex quantitative analysis into clear recommendations for non-technical stakeholders.
Experience with AI/ML model governance, validation, or explainability frameworks – formal or de facto.
Exposure to collections strategy optimisation, scorecard development, or offer assignment modelling.
Emerging fluency with AI governance standards, prompt engineering, or agentic AI tooling in analytical workflows.
Familiarity with the Canadian regulatory environment for credit risk (OSFI, FCAC).

Benefits

Comp & perks

Comprehensive group health and dental benefits and life insurance at little to no cost to you.
Flexible paid time-off policy covering vacation, sick, and mental health days.
Paid parental leave for eligible employees with a top-up.
Generous Group RRSP matching and an optional TFSA program.
Training opportunities and tuition support year-round.
Competitive compensation including equity program.
Flexible hybrid work model that empowers you to do your best work whether at home or the office.