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Job details

Risk Analytics Manager

Jobber is looking for a Risk Analytics Manager to join our team. We help small businesses thrive through technology, and this role will support analytical initiatives in preventing fraud and credit risk within the Fintech sector.

Skills

  • Expert-level SQL programming
  • Experience with complex relational data structures
  • Analytical creativity and flexibility
  • Business acumen and strategic thinking

Responsibilities

  • Deliver insights to optimize risk prevention strategies
  • Evaluate third-party vendors and partner data
  • Design analytics-driven loss prevention systems
  • Collaborate with stakeholders on business objectives
  • Perform analysis to drive insights and guide recommendations

Education

  • Bachelor's degree in a related field

Benefits

  • Extended health benefits package
  • Retirement savings plan matching
  • Stock options
  • Talent development programs
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$115700 / YEARLY (est.)
min
max
$98300K
$133100K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Risk Analytics Manager, Jobber

Are you ready to take on an exciting challenge as a Risk Analytics Manager at Jobber? We’re passionate about helping small businesses thrive, and now we need a brilliant mind like yours to join our Analytics team. In this remote role based in Canada, you will drive innovative and strategic initiatives to protect against credit losses while shaping our data-driven risk decision-making process. By analyzing crucial data, you’ll provide insights that balance risk with exceptional customer experiences. Collaborating closely with your fellow teammates, you’ll be crafting analytics-driven solutions to prevent fraud and optimize our risk management systems. Your knack for critical thinking and problem-solving will shine as you evaluate third-party vendors and enhance our data models. Also, a strong background in credit risk and fraud detection will set you up for success in this role at Jobber. Our diverse and inclusive culture fosters creativity and collaboration, making it an enjoyable environment to contribute. We believe in your potential and are thrilled to support your growth through our comprehensive talent development programs. With a generous compensation package, including equity rewards and wellness stipends, you can rest assured that your contributions will be valued. So, if leveraging data to combat fraud and uncertainty excites you, come join us at Jobber, where you can make a significant impact on the future of service delivery for small businesses everywhere and enjoy the flexibility that modern work demands.

Frequently Asked Questions (FAQs) for Risk Analytics Manager Role at Jobber
What are the responsibilities of a Risk Analytics Manager at Jobber?

As the Risk Analytics Manager at Jobber, you will have a range of responsibilities that include analyzing data to identify credit and fraud risks, optimizing risk prevention strategies, and collaborating with various teams to align data insights with business objectives. You'll design analytics-driven solutions to prevent losses, evaluate third-party data, and ensure risk-related systems are effective in supporting our mission to help small businesses thrive.

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What qualifications do I need to apply for the Risk Analytics Manager position at Jobber?

To apply for the Risk Analytics Manager position at Jobber, candidates should have proven analytical experience in credit risk or fraud detection, expert-level SQL skills, and familiarity with creating custom analytics in a SaaS environment. Experience with complex relational data structures, strategic thinking, and a willingness to learn and adapt are also critical for success in this role.

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How does Jobber support professional growth for Risk Analytics Managers?

Jobber places great emphasis on professional development for all employees, including Risk Analytics Managers. We offer tailored career coaching, access to a dedicated talent development program, and opportunities to work on impactful projects. Our culture of transparency ensures open conversations about career aspirations and growth paths, allowing you to achieve your career goals effectively.

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What is the work environment like for a Risk Analytics Manager at Jobber?

At Jobber, the work environment for a Risk Analytics Manager is collaborative, supportive, and inclusive. You can work remotely from anywhere in Canada or choose to utilize our offices in Edmonton or Toronto. Our culture values transparency and innovation, encouraging you to express your ideas and work closely with various departments to enhance our risk management processes.

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What types of projects will a Risk Analytics Manager at Jobber work on?

As a Risk Analytics Manager at Jobber, you will work on various projects that include designing systems to prevent chargebacks and fraud, analyzing behavioral data to detect emerging risk patterns, and collaborating with the Data Science team on machine learning developments. Your analytical insights will play a critical role in improving our risk strategies and supporting small businesses in delivering exceptional service.

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Common Interview Questions for Risk Analytics Manager
How do you approach risk analysis in your current or previous role?

In your response, highlight your methodologies for risk analysis, emphasizing data-driven techniques and tools you've utilized to assess and mitigate risks. Consider discussing how collaboration with other teams has informed your strategies.

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Can you describe a time when you successfully prevented a credit loss?

Share a specific example where your analysis led to preventing a credit loss. Explain the problem, your approach, and the outcome, focusing on your analytical skills and decision-making process.

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What strategies do you use to communicate complex data insights to stakeholders?

Address your techniques for simplifying complex data and creating visual representations such as dashboards or reports. Talk about your experience tailoring your communication style to meet the audience's needs.

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How do you ensure that your risk prevention strategies do not negatively impact customer experience?

Explain your approach to balancing risk management with maintaining a positive customer experience. Provide examples of how you’ve evaluated the impact of risk strategies on customers and adjusted accordingly.

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What experience do you have with machine learning and its applications in risk management?

Discuss your familiarity with machine learning models and how you've applied them in risk analysis. Share specific projects where ML contributed to improving fraud detection or risk assessment.

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How do you stay updated with industry trends in fraud detection and risk management?

Show your commitment to continuous learning by mentioning sources such as industry journals, conferences, and online courses. Discuss any specific communities or networks you are active in that relate to fraud detection.

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Can you explain your experience with SQL and data analysis?

Provide insights into your SQL proficiency, mentioning specific projects you've worked on that required complex queries to extract insights from large datasets. Share how these analyses influenced decision-making.

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How do you prioritize multiple analytical projects with tight deadlines?

Describe your time management techniques and methods for prioritizing tasks. Highlight how you remain organized and focused to meet project deadlines while ensuring high-quality outputs.

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What tools or software do you use for risk analytics?

List specific analytics tools or software you are proficient with. Discuss how you've leveraged these tools to gather insights, create processes, or analyze data, emphasizing examples of success.

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Describe a challenging data problem you encountered and how you solved it.

Give a detailed account of a data-related challenge that required innovative thinking to resolve. Emphasize your analytical skills, creativity, and the eventual positive outcome of your solution.

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MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$98,300/yr - $133,100/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 10, 2025

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