Senior Manager, Risk Analytics

Demonstrable experience as a people leader in analytics, with a strong track record of building and scaling high-performing teams. Deep expertise in the Risk domain and Risk analytics. Executive presence and a business mindset. Expert-level SQL skills. Experience with Python and data modelling are strong assets. Familiarity with BI and data visualization tools such as Tableau. Demonstrated expertise in foundational and advanced analytics techniques. Strong business acumen and a strategic mindset. Passion for storytelling through data. Exceptional communication and stakeholder management skills. Proactive and forward-looking mindset. Intellectual curiosity, creativity, and adaptability. Proven ability to thrive under pressure, maintaining focus and delivering clarity amid ambiguity. Highly autonomous and accountable in defining priorities and driving action. Solid understanding of SaaS business models, customer health metrics, and operational levers. Comfortable with a high degree of ambiguity and autonomy. Familiar with Stripe data and payment orchestration systems. Familiar with Fraud prevention tooling and data. Familiar with discounted cash flow frameworks for risk decisioning. Foster a collaborative and supportive work environment. Be proactive and resourceful, with a bias for action. Communicate with clarity and confidence. Thrive in a fast-paced and evolving environment.

Lead the team that partners with Risk Leadership, Risk Operations, and Risk Engineering. Help form and manage the greater vision of the Risk Organization. Help form and manage the Risk Analytics roadmap end-to-end. Play a key role in defining company-level metrics, risk appetite, and cross-functional prioritization. Guide analytical initiatives that improve understanding of user behaviour and engagement. Lead projects focused on detecting, quantifying, and mitigating transaction/merchant fraud or counterparty credit risk. Deliver insights to improve loss prevention, payment integrity, and overall risk strategy. Support workflows and processes for customer-facing risk operations teams. Make recommendations on risk tooling and third-party data. Act as Subject Matter Expert in partnership with the leader of the Risk function. Advocate on behalf of ICs and general Risk Analytics best practices. Organize, mentor, empower, and scale a team of analysts. Prioritize, scope, and allocate analytics work based on business impact. Create a collaborative and high-accountability environment. Develop talent through mentorship and feedback. Model analytical leadership by helping the team translate data into clear actions. Act as a strategic thought partner and internal consultant to the Risk Org. Provide analytical perspectives that inform business strategy, operational priorities, and investment decisions. Anticipate business needs and proactively identify analytical opportunities. Frame complex business challenges into structured analytical approaches. Leverage advanced analytics to elevate Jobber’s analytical capabilities. Collaborate with BI and Data Science on initiatives. Champion analytical best practices. Manage large-scale analytics pipelines. Promote strong analytical foundations through consistent metric design, data quality standards, and unified measurement frameworks. Build compelling, executive-ready narratives. Enable scalable self-serve analytics. Encourage curiosity and innovation by exploring new data sources, analytical techniques, and storytelling approaches.