About the position
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 mitigate credit losses and make data-driven risk decisions. The role involves integrating data and analytics processes, developing and optimizing loss prevention systems, providing thought leadership and decision-making support, and collaborating with cross-functional teams. The successful candidate should have a strong background in credit risk analysis, fraud detection, and data manipulation, along with experience in risk case management systems and programming tools.
Responsibilities
- 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
Requirements
- 5+ years of analytical experience in the area of credit risk, fraud detection or equivalent, preferably in a leadership role
- Strong SQL skills and ability to manipulate complex database structures for analysis
- Experience in integrating data and analytics within Risk Case Management Systems
- Python/R skills and experience with Machine Learning
- Ability to spearhead the integration of data, analytics-related processes, and ML-driven strategies within user-decisioning and case management systems
- Champion the streamlining, standardization, and automation of risk data management processes
- Design, build, and maintain analytics-driven Loss Prevention Systems
- Optimize existing systems through ongoing analysis of behavioral data
- Support strategic decision-making in the area of Fraud and Credit Risk Management through data-driven analysis and strategic consulting
- Proactively alert stakeholders of possible risks and opportunities for improvement
- Identify, design, and implement informational systems to support monitoring and reporting on credit risk
- Collaborate with the Data Science and Business Intelligence teams
Benefits
- 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
- Transform the way service is delivered through technology