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
- Senior Data Scientist developing machine-learning models end to end for Flinks' financial platform. Collaborating across teams to drive real financial decisions through deployed models.
Responsibilities
- Own ML models end to end - frame the problem, write the design/RFC, build and train the model, ship it to a served endpoint and monitor its quality in production.
- Build your model's training pipeline and package it for serving, deploying onto the shared platform Data Engineering builds and operates.
- Own model quality, not the platform - you watch drift and performance and decide when to retrain.
- Evaluate rigorously - experimental design, statistical validation, drift detection and retraining, champion-challenger evaluation and promotion.
- Partner across the org - your model outputs feed the attributes/enrichment layer, payments risk, dashboards and client integrations, you'll collaborate with Data Engineering, backend, product and QA on contracts, deployment and rollout.
- Move fast with AI-assisted development - we use it to accelerate implementation and experimentation, the highest-leverage contribution in this role comes from strong problem framing, system design, evaluation rigor and clear technical specifications.
Requirements
- Experience: 6-8 years building and shipping machine-learning models, including taking models to production yourself (training pipeline → served endpoint → monitoring).
- Education: Bachelor's degree in a quantitative field (Computer Science, Statistics, Applied Mathematics, or related), a Master's or PhD is an asset, not a requirement.
- Non-negotiables: production-grade Python and the ability to take a model to a live, monitored service yourself, on a solid data-science / ML foundation.
Benefits
- Health & Dental coverage as of Day 1
- Flexible Paid Time Off (FTO)
- Remote work environment with frequent in-person gatherings and activities.
- Career development, learning opportunities and growth
- And more
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