Director, Fintech & Risk Analytics

Role

The Director, Fin Tech & Risk Analytics leads 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 builds and leads a team of seven analysts, develops rigorous portfolio and risk analytics capabilities, and designs data‑driven strategies to improve the performance and safety of Jobber's Fin Tech products.

• Define and execute the Fin Tech & Risk Analytics roadmap, partnering with Fin Tech 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 Fin Tech 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 Fin Tech 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 Fin Tech product leads, Finance, and executive stakeholders — communicating complex financial and risk insights with clarity across both technical and non‑technical audiences.

• 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 Fin Tech 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 Fin Tech 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.
• The ability to balance rigor with speed — knowing when to go deep and when to move decisively.
• A bachelor’s degree in a quantitative discipline (Mathematics, Statistics, Economics, Finance, or Engineering); a graduate degree (MBA, MSc, or equivalent) is an asset.

At Jobber, this role has a minimum annual salary of $203,200, a midpoint of $239,000, and a maximum salary of $274,900. Base salary is just one part of a total compensation package that includes equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. The range is intentionally broad to support growth and long‑term impact, with fully established hires typically starting around the midpoint.

• Total compensation package includes equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health benefit with fully paid premiums for body and mind.
• Dedicated Talent Development team and access to coaching, learning, and leadership programs.

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.