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Senior Manager, Credit Risk

Jobber

Location: Canada Advertised pay: CAD 124,530–204,585 / yearly Work arrangement: Region-restricted remote Employment: Full Time Posted: November 6, 2026 Freshness: Very fresh Source check: Observed in the past 3 days
Disclosure4 of 5 core facts statedReview uncertainties
Last source observationObserved in the past 3 daysObservation is not employer confirmation.
Application destinationjobicy.comReview the application route and source evidence in the full report below.

Before relying on the listing: Confirm Application closing time with the employer or source. See verification questions

Executive opportunity brief

The decision in one screen

A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.

Compensation positionCAD 124,530–204,585 / year
Work flexibilityRegion-restricted remoteBased only on stated location/work-arrangement evidence.
Decision evidence4 of 5 core facts known
Mobility evidenceSponsorship not establishedUnknown evidence is not treated as unavailable.
Current alternativesCurrent role context limitedCurrent HPJ inventory, not the whole labor market.
Negotiation readinessNegotiation evidence available: advertised pay range, strong decision evidence.Use the private Offer & Negotiation Lab below if an offer arrives.

Fast read

Opportunity DNA

The available details do not point to a single standout advantage yet. The clearest issue to weigh is the salary benchmark is still shallow.

PayRange available

The range is usable, but the comparable sample is still too shallow for a strong relative-pay call.

FlexibilityLocation limits visible

Geographic eligibility is restricted to a country or region.

Entry pathHigher entry bar

One or more material qualification requirements are stated and may narrow the realistic applicant pool.

MobilityNot established

Sponsorship and relocation support are not clear from the current listing.

ApplicationSome process detail

Part of the application route can be assessed, but the full external process may contain additional steps.

TraceabilityCurrent source traceable

At least one recent enabled source can still renew this vacancy.

This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.

Decision evidence check

4 of 5 core facts stated

This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.

Facts already stated

  • Compensation
  • Work arrangement
  • Advertised location
  • Employment type

What to verify next

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?

Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.

Decision levers

What could make or break the fit?

Reasons to look closer

Nothing stands out strongly enough yet to call a clear advantage. The role may still be attractive for reasons the listing does not spell out.

Trade-offs to weigh

  • The salary benchmark is still shallow: Pay is disclosed, but the current comparison pool is too small for a strong relative-pay conclusion.
  • Location rules could change the fit: Geographic eligibility is restricted to a country or region.
  • The experience requirement raises the entry bar: The listing appears to require at least about 8 years of experience.

Questions worth asking before you invest more time

  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • Ask whether visa sponsorship is available before investing significant time in the application.

These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing states usable structured compensation, but the current role sample is still too small for a reliable disclosure-rate comparison.

This listingUsable pay stated

Compensation counts only when amount, ISO currency and supported pay period are all known.

Current same-role sampleInsufficient evidence

At least ten current comparable roles are required before HPJ publishes a disclosure percentage.

Current employer pattern75%

Employer-level comparison is withheld until enough current employer listings are available.

This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.

Private offer & negotiation lab

Turn an offer into evidence, not guesswork

Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.

Advertised annualized payCAD 124,530–204,585 / yearListing evidence only.
Current comparable medianInsufficient same-currency sampleAt least 10 observations required.
Current upper quartileNot publishedCurrent HPJ inventory context, not a salary recommendation.

Negotiation evidence available: advertised pay range, strong decision evidence.

Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.

Review the full package · 10 terms

Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.

Base payKnown

Usable advertised compensation is available.

Bonus / commissionVerify

Variable compensation is mentioned; verify amount, formula, target and eligibility.

Equity / long-term incentivesMentioned

Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.

Retirement / pensionVerify

Retirement or pension benefits are mentioned; verify employer contribution and vesting.

Health benefitsVerify

Health-benefit language is mentioned; verify coverage, dependants and employee cost.

Paid leaveVerify

Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.

Work arrangementKnown

A work-arrangement signal is available; verify schedule details before relying on it.

RelocationVerify

Relocation support not established

Visa / work authorizationVerify

Sponsorship not established

Review timingVerify

A review cycle is mentioned; verify timing and whether compensation can change at that review.

Questions worth taking into the offer conversation

  • Is there a bonus, commission or other variable-pay component, and how is it calculated?
  • What retirement or pension contribution does the employer provide?
  • What health coverage is included and what costs remain with the employee?
  • How much paid leave is provided and what are the carry-over or blackout rules?
  • If relocation is relevant, what expenses, timing and repayment conditions are covered?
  • What exact sponsorship or work-authorization conditions apply to this role?
  • When is the first performance and compensation review after joining?
  • Is there a firm application deadline, a rolling review window or no stated closing date?

Skill bridge

What does this role connect to?

The listing contains useful skill signals, while the current occupation sample is still too thin for a broader comparison.

Skills named in this listing

GAAPIFRSMachine LearningPythonSalesforceSQL

Shared with the current career sample

The occupation sample is still too thin for a reliable shared-skill comparison.

Application edge

  • If these skills match your background, prepare one concrete example that shows how you used GAAP, IFRS, and Machine Learning rather than relying on a keyword-only claim.
  • The listing states about 8 years of required experience. Check that the dates and scope in your application make that experience easy to verify.
  • The listing mentions extra application steps. Review those requirements before starting so you can prepare the requested material in one pass.

Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant.

Application Decision Lab

Turn the listing into a preparation plan

Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.

Explicit requirement

At least about 8 years of experience required

The available wording contains an explicit minimum/required years-of-experience signal. Preferred years are tracked separately and never promoted into the required minimum.

Listing mention

GAAP

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

IFRS

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Machine Learning

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Python

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Salesforce

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

SQL

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Application step

Prepare for a stated application step

A portfolio or work sample is explicitly mentioned.

Questions worth resolving before you rely on the opportunity

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?

Decision analysis

What the listing really tells you

Rich decision context

Senior Manager, Credit Risk at Jobber becomes easier to judge once the range is useful even though the comparison pool is small, the location rules are clear enough to judge, and qualifications reveal more than the job title alone are viewed together. Here is the current read from the information available.

The range is useful even though the comparison pool is small

The CAD range can be compared directly within its currency, although the present comparison sample is too shallow for a confident relative-pay ranking.

The location rules are clear enough to judge

Location flexibility can be assessed here: Remote with some uncertainty or restrictions, with a Remote Freedom reading of 62/100. One practical limit to notice is geographic eligibility is restricted to a country or region..

Qualifications reveal more than the job title alone

At least about 8 years of experience required · 1 additional stated barrier. Unstated education or experience requirements stay open rather than being assumed.

The application route gives a few useful clues

Provider-mediated application path · 1 visible process step. The external application may contain additional steps that are not visible from the listing itself.

The listing can be traced to a current source

1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.

How this analysis is assembled

The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.

Analysis evidence coverage

How much analysis can the current evidence support?

70%Useful analysis evidence coverage
70%
Current-sample pay positionInsufficient comparable salary sample

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Remote Freedom evidence62 / 100

Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.

Salary evidence qualityMedium confidence · Broad but usable range

The salary is source-provided and normalizable, but the advertised range is broad enough to reduce comparison precision.

Listing freshnessVery fresh

The listing was posted about 3 days ago.

Source provenance evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.

Decision checklist

What is supported, uncertain or worth checking?

This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.

Supported strengths

No standout strength is supported strongly enough to list here. That is not a negative rating.

Visible cautions

  • Geographic eligibility is restricted to a country or region.
  • The listing appears to require substantial prior experience.
  • This is remote work with a geographic restriction, not a worldwide-remote vacancy.
  • At least about 8 years of experience required

Still unknown

  • There is not enough comparable salary evidence to establish this job’s current pay position.
  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Some explicit entry barriers stated

EducationEducation requirement not established
Required experience evidenceAt least about 8 years of experience required
Explicit required barriers1
Explicit access signals0

Explicit requirements worth checking

  • At least about 8 years of experience required: The available wording contains an explicit minimum/required years-of-experience signal. Preferred years are tracked separately and never promoted into the required minimum.

Qualification signals come from explicit listing wording. Anything not mentioned remains unknown, so silence is never treated as proof that a degree, experience, licence or other requirement is unnecessary.

Pay vs. barriers

Opportunity Efficiency not assessed

The current pay position is not reliable enough to weigh compensation against the stated barriers.

Explicit stated barriers

1 explicit required barrier is visible in the available wording.

Required experience evidence

The listing states at least about 8 years of required experience.

Location-freedom constraints

1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.

Evidence gaps that could change this interpretation
  • Current comparable pay position is unavailable.
  • Education requirement is not established.

This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.

Beyond the headline

Not enough evidence for a hidden-value finding

Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.

Still check: At least about 8 years of experience required · The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.

Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.

Compensation intelligence

How competitive is this pay?

No High Pay Score yet

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Why this analysis?

  • This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
  • Salary confidence: Medium. The salary is source-provided and normalizable, but the advertised range is broad enough to reduce comparison precision.
  • Range quality: Broad but usable range.

Employer compensation communication

Pay transparency at Jobber

Good current pay transparency

This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.

79/100
79%
Salary disclosure75% · 6 of 8 sampled listings
Range qualityMostly focused or specific pay information
Bonus wording2 current listings
Equity wording8 current listings
Benefits wording8 current listings
Evidence strengthModerate

This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.

Current employer intelligence

Jobber — current opportunity snapshot

Current opportunities visible8
Salary disclosure75%
Remote-policy evidence coverage100% · 8 of 8 sampled listings
Remote share of known arrangements100%
Worldwide-remote share0%
Known hiring countries2
Sponsorship evidence coverage0% · 0 of 8 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample8 of 8 · 100% coverage
Current role-family breadth5
Stated closing-date coverage0%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days38% of listings with a known posting date

Employer Evidence Profile

How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.

Compensation75% of sampled current listings

Current sampled listings with advertised compensation evidence.

Work arrangement100% of sampled current listings

Current sampled listings whose work arrangement is clearer than unknown.

Location100% of sampled current listings

Current sampled listings with a supported country signal.

Application timing0% of sampled current listings

Current sampled listings with an explicit closing time.

Posting date100% of sampled current listings

Current sampled listings with a usable posting date.

Sponsorship0% of sampled current listings

Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.

Relocation0% of sampled current listings

Current sampled listings with an explicit relocation signal.

Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.

Common current occupation families: Software engineering (2) · Data & AI (1) · Executive (1)

Visible seniority mix: Leadership (8)

Current employment-type mix: Full time (8)

Most visible hiring countries in this sample: Canada (5) · United States (3)

Other current roles from this employer

These are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.

There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.

Questions worth asking this employer

  • If work authorization matters to you, what sponsorship policy applies to this specific role and location?
  • If a move is required, is relocation assistance available for this position?
  • What is the expected application and interview timeline if the listing does not state a closing date?

These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.

This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.

This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.

Work-location intelligence

Remote Freedom

62/100

Remote with some uncertainty or restrictions

62%

Why this score?

  • The role is remote but the source identifies a country or regional restriction.

Location restrictions detected

  • Geographic eligibility is restricted to a country or region.

Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.

International applicant intelligence

Visa & relocation signals

Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.

Visa sponsorshipSponsorship not established

The available listing details do not contain a clear enough sponsorship statement.

RelocationRelocation support not established

The available listing details do not contain a clear enough relocation statement.

Tradeoff check

What’s the catch?

These are visible conditions worth checking before treating the headline compensation as the whole story:

  • The listing appears to require substantial prior experience.
  • This is remote work with a geographic restriction, not a worldwide-remote vacancy.

Application-path intelligence

What can we see about the application process?

Provider-mediated application path

The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.

Current destination: jobicy.com · HTTPS

Visible application steps or requirements

  • A portfolio or work sample is explicitly mentioned.

Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.

Application safety context

Application safety check

Basic application-safety context available

The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.

Evidence checked: Source provenance · Application destination · Listing wording

Observable transport-safety signals

  • The available application destination uses HTTPS.
Before you share money or sensitive information
  • Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
  • Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
  • Do not pay application, processing, training or equipment fees merely to be considered for a job.
  • Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
  • Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.

This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.

Original listing details

The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.

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—but 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.

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 Role:

The Senior Manager, Credit Risk will lead and grow a team of Credit Risk Analysts, owning the day-to-day operations of the credit risk function while helping build it into something more ambitious: an AI-native credit risk practice, built for Jobber Payments today and ready to scale into a growing lending business. This is a role for a builder, not a doer—someone who looks at a manual process or an ad hoc decision and asks how it should be automated, modeled, or systematized, rather than simply executed by hand.

You'll work closely with Data Science and Risk Analytics to design and strengthen credit risk models, policies, and monitoring, and you'll partner cross-functionally across Fintech, Product, and Customer Support to make sure credit risk decisions are embedded seamlessly into the products our customers use every day.

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!

Listing provenance

Where did this job come from?

See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.

Current source evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

Continuity
One recent renewable source
Source-class independence
One renewable source class
Last source observation
Observed in the past 3 days

This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.

  • 1 enabled source recently observed this vacancy.

Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.

JobicyPublisher source

The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.

Continue to applicationOpens in a new tab

Listing source: Jobicy. Destination: jobicy.com. The application opens in a new tab so you can keep this report open.