Risk Analytics Manager

Summary

Join Jobber's Analytics team as a Risk Analytics Manager and contribute to the company's fraud prevention efforts. Reporting to the Senior Manager of Product Analytics, you will play a crucial role in strengthening Jobber's ability to protect against credit losses. This individual contributor role involves a blend of strategic and operational responsibilities, focusing on optimizing risk prevention strategies while maintaining a positive customer experience. You will spearhead the evaluation of third-party vendors, design analytics-driven loss prevention systems, and collaborate with colleagues to translate business objectives into actionable solutions. The position requires proven analytical experience in credit risk or fraud detection, expert-level SQL skills, and experience with SaaS product development. Jobber offers a competitive salary, equity rewards, health and wellness stipends, retirement savings matching, and an extended health package.

Requirements

• Proven analytical experience in the area of credit risk, fraud detection, or equivalent
• Expert-level SQL programming skills
• Experience creating and delivering custom analytics for SaaS product development
• Experience with complex relational data structures
• Experience with business cases and making recommendations with data
• Experience with case management systems
• Analytical curiosity and willingness to learn
• Analytical creativity and flexibility
• Business acumen, strategic thinking, the ability to see a bigger picture and the ability to weigh pros and cons of different options
• Ability to work under data & time constraints
• Ability to, on your own and with your teammates, make sense of chaos in a volatile domain

Responsibilities

• Think critically about risk objectives and deliver insights to stakeholders, optimizing risk prevention strategies while balancing risk reduction with customer experience
• Spearhead the evaluation of third-party vendors and partner data as they pertain to improving our data models, user decisioning, and case management systems
• Design analytics-driven Loss (chargebacks and/or fraud) Prevention Systems, Rules, Limits, and other data-driven solutions to help proactively detect and effectively prevent possible credit and fraud losses
• Optimize existing systems with ongoing analysis of behavioural data to operationalize known patterns of fraud/other financial risk and to uncover new patterns of fraud/other financial risk
• Collaborate with colleagues and stakeholders to understand their business objectives, translate business objectives into proposed solutions (e.g., analysis, KPIs, BI, Data Science), and socialize the proposals to ensure stakeholders’ alignment & buy-in
• Perform (hands-on) analysis to drive insights, guide risk appetite, and inform business recommendations
• Provide BI team with requirements for risk analytics data, reports and dashboards
• Collaborate with the Data Science team on ML / AI developments supporting risk models

Preferred Qualifications

Python would be an asset

Benefits

• Minimum annual salary of $121,000, a midpoint of $142,200, and a maximum salary of $163,600
• Equity rewards
• Annual stipends for health and wellness
• Retirement savings matching
• Extended health package with fully paid premiums for body and mind
• Dedicated talent development program that includes career coaching and opportunities for career development
• Extended health benefits package with fully paid premiums for both body and mind
• Retirement savings plan matching
• Stock options
• Dedicated Talent Development function, including Development Coaches
• Support for all your breaks: from vacation to rest and recharge, your birthday off to celebrate, health days to support your physical and mental health, and parental leave top-ups to support your growing family
• Opportunity to work from Edmonton or Toronto offices, Vancouver co-working space, or remotely anywhere within Canada