Risk Analytics Manager

The Risk Analytics Manager will play a crucial role in Jobber's Business Analytics team, specifically supporting Risk operations within the Fintech area of the company. This position requires a combination of strategic and operational responsibilities to enhance Jobber's ability to protect against credit losses and make data-driven risk decisions. The role involves spearheading data integration, developing and optimizing loss prevention systems, providing thought leadership and decision-making support, and collaborating cross-functionally with various teams. The successful candidate should have extensive experience in credit risk analysis, fraud detection, and data manipulation, along with strong SQL and programming skills.

• Spearhead the integration of data, analytics-related processes, and ML-driven strategies & data flows within user-decisioning and case management systems
• Champion the streamlining, standardization, and automation of risk data management processes
• Champion the initiatives designed to ensure completeness and accuracy of risk-related data
• Design, build and maintain analytics-driven Loss (chargebacks and/ or fraud) Prevention Systems
• Optimize existing systems through ongoing analysis of behavioral data to uncover new patterns of fraud or other financial risk
• Optimize performance across Acceptance, Monitoring, Chargeback and Recovery processes via regular review of the rules, parameters and thresholds
• Support strategic decisioning in the area of Fraud and Credit Risk Management through in-depth data-driven analysis and strategic consulting
• Proactively alert the stakeholders of the possible risks and opportunities for improvement to power corrective action on risk tools and technology platforms
• Identify, design and implement the informational systems that would support monitoring and reporting on the state of credit risk
• Support the design of the ML / AI solutions by providing guidance, subject matter expertise, and custom-analytics insights
• Deeply understand current and future data needs and communicate and prioritize them with data infrastructure teams
• Closely collaborate with the Business Intelligence team on the implementation of the Credit Risk BI solutions

• 5+ years of analytical experience in the area of credit risk, fraud detection or equivalent, preferably in the capacity that combines functional and/or project leadership with full hands-on analytical execution via programming tools
• Strong SQL skills and ability to efficiently manipulate complex database structures for analysis
• Experience in integration of data & analytics within Risk Case Management Systems
• Python/R skills and Machine Learning experience

• Extended health benefits package with fully paid premiums for both body and mind
• RRSP matching and stock options
• Dedicated Coaching and Development function
• Support for vacation, rest and recharge, birthday off, health days, and parental leave top-ups
• Opportunity to build, grow, and leave an impact on a $400-billion industry
• Work with a humble, supportive, and customer-focused team
• Embrace diversity and foster an inclusive work environment
• Equal opportunity employer
• Transforming the way service is delivered through technology