Remote opportunity at
JobberManager, Credit Risk
Jobber makes software that helps small home service businesses, such as plumbers, painters and landscapers, run their operations. Its fintech division is one of the company's…
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About This Role
Jobber makes software that helps small home service businesses, such as plumbers, painters and landscapers, run their operations. Its fintech division is one of the company's fastest-growing areas, supporting Jobber Payments today and a planned lending business. The Manager, Credit Risk leads and develops a group of credit risk analysts and runs the day-to-day work of the credit risk function. Responsibilities span credit approvals and exposure limits, watching the portfolio,…
Job Description
Jobber makes software that helps small home service businesses, such as plumbers, painters and landscapers, run their operations. Its fintech division is one of the company's fastest-growing areas, supporting Jobber Payments today and a planned lending business.
The Manager, Credit Risk leads and develops a group of credit risk analysts and runs the day-to-day work of the credit risk function. Responsibilities span credit approvals and exposure limits, watching the portfolio, forecasting losses and reporting how credit behaves. The manager works alongside data science and risk analytics colleagues to develop, test and refine scorecard work, statistical models and ML methods, and partners with fintech, product and support teams so that credit policies and controls live inside customer-facing workflows. The role also includes creating a provisioning and reserving practice under IFRS 9 or an equivalent GAAP standard, with finance and accounting. The posting frames the job as building a new function, with automation and AI used to tackle new credit problems rather than simply speeding up existing steps.
Applicants need a proven credit risk background across lending, payments and financial technology, including experience leading people. Proficiency in SQL and Python is expected, along with a working understanding of logistic regression, decision trees and gradient boosting. Familiarity with IFRS 9 or CECL is required, or the ability to learn it quickly. Candidates can be located anywhere in Canada. Staff in the hub cities of Edmonton, Toronto, Vancouver and Kitchener-Waterloo follow an in-office schedule, and others work remotely. The posted pay band runs from $121,000 to $163,600 per year, and the middle of the band is $142,200.
Responsibilities
- Guide and develop a group of credit analysts
- Oversee underwriting, exposure decisions, portfolio monitoring and loss forecasting
- Build, validate and improve credit models and decision logic alongside data science
- Create a provisioning and reserving process with finance
- Automate manual credit risk work from idea through implementation
- Put credit guardrails in place across product and day-to-day operations
- Brief leadership on credit exposure, portfolio condition and new developments
- Support vendor reviews and new product launches
Requirements
- Proven credit risk experience across lending, payments or fintech, including leading or mentoring an analyst team
- Builder mindset, with a history of tackling issues through automation and tooling
- Data-centred approach to decisions
- Competence in SQL and Python, or in some comparable language
- Working understanding of logistic regression, decision trees and gradient boosting
- Knowledge of IFRS 9 or similar standards such as CECL, or fast uptake of them
- Clear written and verbal communication with non-technical stakeholders
- Ability to work independently with strong time management
Qualifications
- Familiarity with credit scorecards, including development, calibration and monitoring
- Experience building or overseeing credit models or policies for lending products
- Experience with payments or lending infrastructure such as Stripe, Adyen or Plaid
- Experience evaluating AI or machine learning tools for risk decisions
Core Skills
Benefits
- Extended health benefits with premiums fully paid
- Yearly allowances toward health and wellbeing
- Retirement savings matching through an RRSP, TFSA or FHSA
- Equity and stock options
- Talent development programme with career coaching
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range?
The band runs from $121,000 at the floor to $163,600 at the top, with $142,200 as the midpoint.
Where can candidates live?
Candidates can be located anywhere in Canada. People in the hub cities of Edmonton, Toronto, Vancouver and Kitchener-Waterloo follow an in-office schedule, while others work remotely.
What technical skills are needed?
Proficiency in SQL and Python, plus a working understanding of statistical and machine learning methods used in credit risk.
What accounting knowledge is expected?
IFRS 9 or CECL familiarity is required, or quick learning ability in those standards.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
