Senior Manager, Credit Risk

Do you think differently about risk? Are you excited by the idea of building credit risk management from the ground up, AI-native, rather than bolting AI onto an old playbook?
Then Jobber might be the place for you. We’re looking for a
Senior Manager, Credit Risk
to join our Fintech department.
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 to run their businesses how, where, and when they want!
Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—and we’ve just scratched the surface of what we want to accomplish for our customers.
The Team:Fintech is one of the fastest-growing parts of Jobber, and a core strategic priority for us as a company. We’re investing in this area because we believe embedding financial tools within our product deepens our ability to help small businesses be successful—whether that’s helping them get paid through Jobber Payments, or, in the near future, offering them access to capital through a growing lending business.
The Role:Our Risk team is a critical part of the broader Fintech team, and core to Jobber’s success. Credit Risk is responsible for the frameworks, models, and operational discipline that let us extend payments and lending products responsibly, protecting both our customers and Jobber from undue credit exposure.
The Senior Manager, Credit Risk will:
Lead, coach, and grow a team of Credit Risk Analysts (and, as the function scales, the team leads who manage them), owning hiring plans, team structure, and career paths, and setting the standard for how the team investigates, decides, and communicates credit risk.
Own credit risk operations end-to-end: underwriting and exposure decisions, portfolio monitoring, collections and recovery strategy, and loss forecasting.
Define and maintain Jobber’s credit risk appetite, credit policy, and limit framework (approval criteria, exposure and concentration limits, and delegated decision authority), and act as the final escalation point for high-exposure and exception decisions.
Partner closely with Data Science and Risk Analytics to build, validate, and improve credit risk models and decisioning logic, including scorecards, statistical models, and machine learning approaches where they add value.
Champion an AI-native approach to credit risk management, using AI and automation to build novel solutions to novel problems, not just to speed up existing workflows, and drive automation opportunities from idea through to implementation.
Set the multi-year roadmap for the credit risk function across people, models, data, and tooling, and make the case to leadership for the investment needed to deliver it.
Build and strengthen the credit risk function for Jobber’s payments business today, and design and own the credit risk framework for a growing lending business.
Work cross-functionally with Fintech, Product, Finance, Legal, Compliance, and Customer Support teams to embed credit risk policy and controls into product and operational workflows.
Make sure credit policy and decisioning meet applicable Canadian and US requirements, partnering with Compliance and Legal on fair lending, adverse action and decline notices, commercial financing disclosures, and regulatory change.
Own credit loss provisioning and stress testing: build expected credit loss methodology, forward-looking scenarios, and management overlays from IFRS 9 or equivalent GAAP standards, and turn scenario results into loss forecasts, limit changes, and funding plans, partnering with Risk Analytics and Finance.
Report on credit risk exposure, portfolio health, and emerging trends to Fintech and Risk leadership, the executive team, and credit or risk committees.
Partner with relevant teams on the credit side of funding the lending book (for example, warehouse facilities or forward-flow partners), including loss and performance forecasts, eligibility criteria, loan-level data tapes, and lender due diligence.
Lead broader Fintech and Risk initiatives on credit-risk-relevant topics, including new product launches.
Own relationships with credit data and decisioning vendors (credit bureaus, bank-data and open banking providers, decisioning platforms), from evaluation and contracting through ongoing performance oversight.
To be successful, you should have:
8+ years of experience in credit risk, in financial services, fintech, payments, or lending, including 3+ years of people leadership, ideally including hiring and developing team leads as well as analysts.
A track record of setting and owning credit policy, risk appetite, and limit frameworks, and of making and defending high-stakes credit decisions with incomplete information.
Experience managing a credit portfolio through a period of stress or a full credit cycle, and adjusting strategy as performance changed.
A builder’s mindset: a track record of solving problems through automation and tooling, not just process, and genuine enthusiasm for using AI to build new approaches to credit risk rather than only applying existing ones.
A deeply data-centric approach to decision-making, with comfort working directly in the data rather than relying solely on others to produce it for you.
Proficiency in SQL and Python (or a similar language), enough to independently pull, analyze, and interrogate data, to review your team’s analytical work, and to collaborate credibly with Data Science and Analytics.
Working familiarity with statistical and machine learning approaches used in credit risk management (e.G., logistic regression, decision trees, gradient boosting)—you don’t need to be a data scientist, but you should understand what these approaches do, how they work at a conceptual level, and when it’s appropriate to apply them, and what it takes to govern them in production (validation, drift monitoring, and explainability).
Hands-on experience with IFRS9 or equivalent GAAP standards (e.G., CECL) for credit loss provisioning, including building or owning an expected credit loss model and the governance around it.
Strong written and verbal communication skills, with the ability to translate technical or quantitative findings into decisions that product, operations, and leadership stakeholders can act on, including presenting to executive leadership, credit committees, auditors, and external funding partners.
A genuine passion for fintech, and curiosity about how payments and lending products should manage risk differently than legacy financial institutions.
The ability to embrace ambiguity and change—we don’t know what we don’t know, so you should be comfortable coming in and improving the process rather than waiting for one to be handed to you.
The ability to work autonomously with strong time management skills. We are a mix of fully remote and hybrid distributed across the country. While you’ll be part of a team, you’ll need to be a self-starter who can find direction and guidance proactively.
It would be really great (but not a deal-breaker) if you had:
Working knowledge of small business lending regulation in Canada or the US (for example, ECOA and Regulation B adverse action requirements).
Familiarity with credit scorecards, including scorecard development, calibration, or monitoring.
Experience building or overseeing credit risk models or policies for a lending product (installment loans, lines of credit, merchant cash advances, or similar).
Experience with modern payments or lending infrastructure (e.G., Stripe, Adyen, Plaid, or similar).
Experience working with or evaluating AI/ML tooling or vendors for risk decisioning.
Familiarity with Slack, Salesforce, Asana, Confluence, or other collaboration tools.
Location:We believe great collaboration is intentional, and that means coming together in person to build, brainstorm, and connect from time to time. This role is open to candidates anywhere in Canada. Employees who live in one of our hub cities—Edmonton, Toronto, Vancouver, or Kitchener‑Waterloo—will participate in their department’s in‑office schedule, while employees outside our hub cities will work remotely.
Compensation:At Jobber, we believe that compensation should be transparent, fair, and reflective of your experience and growth. This role has a minimum annual salary of $124,530, a midpoint of $177,900, and a maximum salary of $204,585, designed to show the progression from learning the ropes to truly excelling.
We design our compensation to reflect each new hire’s skills, experience against the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long‑term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual’s current capabilities and their opportunity for future growth.
Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You’ll have access to a dedicated talent development program that includes career coaching and opportunities for career development.
We believe in transparency and open conversations about compensation. If you have any questions about our approach, we’re happy to discuss them throughout the hiring process!
What you can expect from Jobber:
A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options.
A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
A unique opportunity to build, grow, and leave your impact on a $400‑billion industry that has no dominant player…yet.
To work with a group of people who are humble, supportive, and give a sh*t about our customers.
We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.
A bit more about us:Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win!
#J-18808-Ljbffr