Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner - led modelling projects.
About the role
- Data Scientist utilizing AI tooling to build and iterate on statistical and ML models at Pipe Technologies, enhancing fintech services for SMBs across five countries.
Responsibilities
- Partner with senior scientists to forecast cash flows and other drivers of business health using statistical and ML modeling.
- Design and build models that make our capital products better for customers and deliver positive return assets. Sharper pricing, lower losses, growth and offers that fit how SMBs actually run.
- Proactively mine our datasets for insight, and prototype new models that move the needle for customers and the business.
- Own model outcomes end-to-end. Not just deployment bespoke to the platforms Pipe serves (e.g., UberEats and Housecall Pro), but ongoing performance, residual analysis, drift detection, and the judgment calls about when a model needs to be retrained, replaced, or retired. You'll work closely with product, risk peers and engineering to make this real in production.
Requirements
- 3-5+ years building ML models, including training, evaluation, and deployment.
- Fluency in Python and the standard stack (NumPy, Pandas, scikit-learn, etc.).
- Working comfortably with agentic coding tools (Claude Code, Cursor, or similar) and standard dev tooling (GitHub, VS Code).
- Strong fundamentals in probability, statistics, and machine learning.
- Clear written and verbal communication; comfortable collaborating across functions and surfacing progress, tradeoffs, and results.
- Bachelor's in CS, Applied/Financial Math, Statistics, Economics, or a related technical field. Master's is a plus, not a requirement.
- Bonus: prior experience in credit risk modeling, underwriting, or adjacent risk decision sciences (insurance pricing, actuarial, fraud) is a strong plus.
Benefits
- The best equipment to help you do your job.
- Flexible vacation and work hours. We believe in a healthy work-life balance (really!)
- Excellent health, dental, and vision insurance.
- Generous parental leave for anyone who is growing their family, regardless of gender.
- Great colleagues! We value a culture of authenticity, humility, and excellence. We want you to make a mark on our culture.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist developing transactional fraud detection models for Desjardins’ banking and debit payments. Deploying analytics, dashboards, and mitigation strategies to protect members and clients.
Product analytics consultant delivering business insights and dashboards for Allstate Canada’s personal insurance portfolio. Supporting strategic decisions through performance analysis, reporting automation, and stakeholder recommendations.
Growth Data Scientist partnering with product, design, engineering, and marketing leaders at fintech Mercury. Shaping banking growth strategy through funnel analytics, experimentation, and prioritized recommendations.
Principal Data Scientist leading causal marketing measurement for Upstart’s AI lending marketplace. Guiding attribution, experimentation, and budget allocation across growth channels.
Senior actuarial advisor commercializing predictive modeling and advanced analytics for Desjardins insurance pricing. Deploying innovative capabilities across Personal and Commercial Insurance.
Senior Data Scientist defining rigorous evaluation systems for AI models and agents. Improving quality and safe rollout at Alpaca, a global brokerage - infrastructure company.
Lead Data Scientist building production ML for Life360’s family safety and tracking products. Driving revenue experimentation, personalization, advertising, and subscription growth.
Data Scientist developing network - based financial - crime detection for TD Bank. Building models, visualizations, and decision - support tools to prioritize high - risk customer connections.
Data Scientist developing machine - learning models for The Athletic’s sports media platform. Optimizing subscriptions, workflows, experiments, and personalized article recommendations.