Head Of Data Science & Credit Risk

Head Of Data Science & Credit Risk at Jobgether scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (Canada)leadFull-time

AI in this role

Lead the data science and credit risk strategy, owning the full lifecycle of machine learning underwriting models in Canada.

python

machine-learningdata-sciencecredit-riskunderwritingleadership

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head Of Data Science & Credit Risk based in Canada.

As Head of Data Science & Credit Risk, you will lead the strategy behind ML-powered underwriting and credit risk decisioning across multiple fast-growing markets.
You will own the full lifecycle of risk models, from development and deployment through monitoring, experimentation, and measurable business impact.
The role combines deep technical leadership with responsibility for credit policies, portfolio performance, and responsible lending practices.
You will build and mentor a high-performing team of data scientists and risk analysts while remaining actively involved in complex technical challenges.
Working closely with Engineering, Product, Finance, and executive stakeholders, you will turn advanced analytics into practical decisions that support sustainable growth.
You will help improve approval rates, automate decisioning, identify new customer segments, and strengthen portfolio health through data-driven strategies.
This is a greenfield leadership opportunity in a mission-driven fintech environment focused on expanding fairer and more accessible financial services.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine LearningData ScienceCredit RiskUnderwritingLeadershipPython

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where credit risk was part of your work. What did you do?
Tell me about a project where underwriting was part of your work. What did you do?
Tell me about a project where leadership was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine Learning, Data Science, Credit Risk, Underwriting, and Leadership. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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