Director, FinTech & Risk Analytics

Jobber

3d•CA$203,200 - CA$274,900

About The Position

Jobber is seeking a Director, FinTech & Risk Analytics to join their Strategy & Analytics department. This role is crucial for building the risk and analytics engine behind financial products that support small businesses. Jobber's mission is to help small home service businesses succeed by providing technology solutions for quoting, scheduling, invoicing, and payments. The company fosters a culture of transparency, inclusivity, collaboration, and innovation, and has received recognition for its workplace culture and growth. The Strategy & Analytics team serves as the intelligence hub for critical business decisions, with a particular focus on the rapidly growing FinTech business. This team supports small businesses in getting paid, accessing capital, and understanding their financial health. As financial services become increasingly embedded in vertical SaaS platforms like Jobber, this role will be at the forefront of developing analytics infrastructure, risk frameworks, and AI-powered capabilities for responsible and profitable scaling.

Requirements

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 AI-powered decision systems in a risk or financial services context
Strong proficiency in analytical tools (SQL, Python, or R) and modern data stacks (e.g., Snowflake, dbt, Databricks), comfortable working across both raw financial data and curated semantic layers
The ability to translate complex quantitative findings into clear, compelling strategic narratives for executive and non-technical audiences alike
A natural instinct for balancing rigour with speed — you know when to go deep and when to move decisively
A bachelor's degree in a quantitative discipline (Mathematics, Statistics, Economics, Finance, or Engineering)

Nice To Haves

A graduate degree (MBA, MSc, or equivalent) is an asset

Responsibilities

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