Director, Fintech & Risk Analytics

About this role

Do you want to build the risk and analytics engine behind financial products that help hundreds of thousands of small businesses stay in business longer?

Then Jobber might be the place for you! We're looking for a Director, Fintech & Risk Analytics to be part of our Strategy & 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 https://www.youtube.com/watch?v=EkfZmHrRLx4&list=PLoktA_D-2UEnxMLfCe93bANKXVXd2bdN8&index=24.

The team:

The Strategy & Analytics team is the intelligence engine behind some of Jobber's most critical business decisions — and the Fintech business is where that intelligence matters most. Our Fintech team is one of the most strategically important and fastest-growing parts of Jobber. We help small businesses get paid, access capital, understand their financial health, and ultimately stay in business longer. The future of financial services is embedded, and we're still early — small businesses increasingly rely on vertical SaaS platforms like Jobber not just to run their operations, but to manage their money. As that portfolio grows across payments, capital lending, and consumer financing, our analysts and data scientists work at the heart of the company — partnering with product, finance, and executive leadership to build the analytics infrastructure, risk frameworks, and AI-powered capabilities that will define how we scale responsibly and profitably.

The role:

The Director, Fintech & Risk Analytics will lead the analytics function at the intersection of Jobber's financial services products and risk management practice. Reporting to the VP of Analytics & Insights, this role is responsible for building and leading a team of seven analysts, developing rigorous portfolio and risk analytics capabilities, and designing data-driven strategies that improve the performance and safety of Jobber's Fintech products.

This leader will be equally adept at translating complex financial modeling into actionable business strategy, championing AI-powered approaches to risk and decision-making, and serving as a trusted partner to Fintech product, Finance, and executive leadership.

The Director, Fintech & Risk Analytics will:

- Define and execute the Fintech & Risk Analytics roadmap, partnering with Fintech leadership to co-own product impact and P&L growth — translating business objectives into analytics use cases that drive measurable improvements in revenue, margin, and risk-adjusted returns

- Lead the development of portfolio analytics frameworks using ROA/ROE methodologies to assess profitability, optimize yield, and guide capital allocation decisions across Jobber's lending and payments portfolios

- Design and implement portfolio risk models using IFRS 9 methodologies (PD, LGD, EAD, ECL staging), build scenario-based loss forecasting models, and govern risk rating frameworks that inform underwriting standards, provisioning, and capital planning

- Build integrated, data-driven strategies that connect SaaS engagement signals (NRR, DAU/WAU/MAU) with Fintech KPIs — establishing a test-and-learn culture through structured experimentation and partnering with Data Science on ML-based approaches like credit scoring and propensity models

- Champion the adoption of AI and machine learning across Fintech and Risk Analytics — identifying opportunities to replace rules-based processes with intelligent decisioning in areas like real-time underwriting, fraud detection, and collections optimization

- Lead, coach, and develop a team of seven analytics professionals, fostering a high-performance culture built on intellectual rigor and continuous improvement, while managing capacity and prioritization across strategic initiatives and day-to-day demands

- Act as the primary analytics partner to Fintech product leads, Finance, and executive stakeholders — communicating complex financial and risk insights with clarity across both technical and non-technical audiences

To be successful, you should have:

- Extensive experience in analytics, risk management, or financial services, with a proven track record leading and growing analytics or data science teams

- Deep expertise in portfolio risk modeling, including hands-on experience applying IFRS 9 frameworks (PD, LGD, EAD, ECL staging) in a financial services or Fintech environment, and strong command of ROA/ROE and yield management frameworks

- Past experience designing data-driven credit strategies — including credit line management, loan underwriting, and deposit or savings product analytics — alongside familiarity with SaaS-based Fintech products such as payment processing and lending

- A demonstrated track record as an AI advocate and change agent, with experience leading or accelerating the adoption of machine learning or A

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