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PC
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Pursuit Collection
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Jobber

Senior Risk Modelling & Analytics Manager (Fintech)

Remote, Canada

Remote

This role has a minimum annual salary of $145,860, a midpoint of $171,600, and a maximum salary of $197,430, designed to show the progression from learning the ropes to truly excelling. · Full-time

Apply on jobs.ashbyhq.com About employer

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Job details

Pay: This role has a minimum annual salary of $145,860, a midpoint of $171,600, and a maximum salary of $197,430, designed to show the progression from learning the ropes to truly excelling.
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Nov 13, 2026

Original job description

Are you a builder who's curious about how risk really works - and happiest when your models change how decisions get made?

Then Jobber might be the place for you! We're looking for a Senior Risk Modelling & Analytics Manager to be part of our Analytics 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:

Analytics is part of the Strategy & Analytics department, Jobber's internal consulting team. We're the decision support function that connects data, business insights, and our internal tech stack with the rest of the organization - a central team that exists to drive business outcomes in every corner of Jobber's ecosystem.

Within Analytics, the Fintech & Risk Analytics team partners with Risk Operations and Fintech & Payments leadership to measure, model, and manage the credit and fraud risk in Jobber's financial products.

The role:

Reporting to the Director, Fintech & Risk Analytics, the Senior Risk Modelling & Analytics Manager will be the most senior risk modeller on the team supporting the Risk organization within Jobber's Fintech business. Jobber is maturing its risk management program, and your mandate is to help shape our risk strategy and build the models and analytics that put it into practice.

This is a hands-on individual contributor role for a builder. Much of what we need doesn't exist yet, so you'll design it, code it, and get it used in real decisions that strengthen Jobber's risk management program. You'll also set the technical bar for a small team, coaching two analysts in risk modelling and decision support. If you've built risk models at a fintech, bank, insurer, or lender and wished you could move faster, this role was written for you.

The Senior Risk Modelling & Analytics Manager will:

Build and implement quantitative risk models end to end in Python - such as credit risk scorecards, probability of default, loss and exposure models, and fraud detection models - taking them from raw data through validation to use in real decisions.
Help develop and implement Jobber's risk strategy, turning risk appetite into the limits, rules, and decision policies behind our fintech products.
Design analytics-driven loss prevention systems, rules, and limits that proactively detect and prevent credit losses, chargebacks, and fraud, while balancing risk reduction with customer experience.
Help introduce expected credit loss measurement and other IFRS 9 concepts as our risk framework matures.
Dig into behavioural and transaction data to operationalize known patterns of fraud and other financial risk, and to uncover new ones.
Partner with Risk Operations and Fintech leadership to understand their objectives, translate them into models, analysis, and KPIs, and champion your recommendations until they're understood and adopted.
Evaluate third-party vendors and partner data that could improve our models and the decisions we make about users.
Raise the team's capability by coaching analysts in risk concepts, modelling, and decision support, and set the standard for well-built, well-documented work.
Work with the BI team on risk data, reports, and dashboards, and with the Data Science team on ML and AI developments that support risk models.
Use AI tools as a core part of how you work every day, to build faster and automate what can be automated.

To be successful, you should have:

Extensive experience in risk modelling or risk analytics at a fintech, bank, insurer, or lender, with credit risk at the core. Fraud risk experience is a strong plus.
A proven track record of building: models, frameworks, or programs you created or redesigned that changed how decisions were made - not only ones you maintained.
Hands-on quantitative model development experience, such as credit scorecards, PD/LGD/EAD, expected credit loss, stress testing, capital models, or fraud models.
Strong skills for modelling and analysis, and the SQL to pull and shape your own data from complex relational data structures.
A degree in a quantitative field such as mathematics, statistics, financial mathematics, or a related discipline.
Deep analytical curiosity. You ask why things are done the way they are, dig until you understand, and want to test a better way.
Business acumen and strategic thinking - you see the bigger picture, weigh the trade-offs between options, and make clear recommendations backed by data.
The ability to explain a model and its limits to people who aren't modellers, connect models to real decisions, and earn the confidence of senior stakeholders.
A genuine enjoyment of coaching others and raising the bar for a team. Formal people management experience isn't required.
Bonus points for experience with IFRS 9 or expected credit loss frameworks, an understanding of capital markets, lending, or payments (including chargebacks), or experience using AI tools and agents to make your own work faster and better.

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 $145,860, a midpoint of $171,600, and a maximum salary of $197,430, 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!

Location:

We believe great collaboration is intentional, and sometimes that means coming together in person to build, brainstorm, and connect. To support this, the role is open to candidates based in one of our hub cities: Edmonton, Toronto, Vancouver, or Kitchener-Waterloo.

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!

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Senior Risk Modelling & Analytics Manager will design and implement quantitative risk models, including credit scorecards and fraud detection systems, using Python. They will also partner with leadership to develop risk strategies and coach a team of analysts to drive business outcomes.

Requirements

Candidates must have extensive experience in risk modelling or analytics within fintech, banking, or lending, with strong proficiency in Python and SQL. A degree in a quantitative field such as mathematics or statistics is required, along with proven experience in building and operationalizing risk frameworks.

Skills

Risk modelling
Python
SQL
Credit risk
Fraud detection
Data analysis
Financial modeling
Strategic thinking
Stakeholder management
Coaching
Risk strategy
Loss prevention
IFRS 9
Quantitative analysis
Decision support

Benefits

Extended health benefits
Retirement savings matching
Stock options
Annual stipends for health and wellness
Career coaching
Talent development program

Visa sponsorship

Not detected in the job text

Keywords

Risk Modelling
Fintech
Python
SQL
Credit Risk
Fraud Detection
PD/LGD/EAD
Expected Credit Loss
IFRS 9
Stress Testing
Capital Models
Data Analytics
Risk Strategy
Loss Prevention
Chargebacks
Relational Data Structures
BI
Machine Learning
AI
Decision Support
Quantitative Analysis
Financial Mathematics
Statistics
Mathematics
Risk Operations
Payments
Lending
Risk Appetite
KPIs
Model Validation

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