Senior Risk Modelling & Analytics Manager (Fintech)

TorontoFull-time$146k–$197k2026-11-14

Based in Canada

Core

Designing and implementing quantitative risk models (credit, fraud, IFRS 9) to shape risk strategy and drive business outcomes for Jobber's fintech products.

Role type

Senior hands-on individual contributor risk modeller and analytics lead

Builds

End-to-end risk models (scorecards, PD/LGD/EAD, fraud detection), loss prevention systems, and analytics frameworks

Domain

Fintech / Credit Risk / Fraud Risk

Deliverable

production ML models

Required skills

Python, SQL, credit risk modelling, fraud detection, IFRS 9, quantitative analysis, data visualization, stakeholder communication, team coaching

Preferred skills

IFRS 9 frameworks, capital markets, lending, payments, AI tools/agents

Technologies

Python, SQL, AI tools

Responsibilities

Build and validate quantitative risk models from raw data to production; develop risk strategy and decision policies; design loss prevention systems; analyze behavioral and transaction data; partner with leadership to translate objectives into models; coach analysts; collaborate with BI and Data Science teams; leverage AI tools for automation.

Seniority

Senior, hands-on IC with mentorship responsibilities

About Jobber

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber, they can quote, schedule, invoice, and collect payments from their customers while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands