Perform independent challenges of machine learning models used for fraud detection/fraud risk management through thorough validation and ongoing monitoring. Identify model weaknesses and opportunities for improvement and collaborate with model owners to remediate model validation findings. Partner cross-functionally to implement and maintain the company’s MRM framework.

Manage the KYC process and client onboarding, monitor transactions for fraud, and address payment-related support requests. Identify opportunities for process automation and assist in the development of compliance policies. Seeking someone with strong attention to detail and problem-solving skills.

As a member of our Investigations team, you’ll help handle our transaction monitoring queues while balancing an eagle eye for risk with excellent user experience. You’ll work to help make sure we have smart, risk-based monitoring in place and help build out our case management technology and processes. You’ll need to learn how a really wide range of businesses work and bring your knowledge to bear on our processes and product.

Lead and oversee the Engagement level monitoring program, ensuring internal monitoring aligns with firm, global, and regulatory requirements. Oversee monitoring related to the System of Quality Management (SOQM) and its implementation of CSQM1/ISQM1, engaging in root cause analysis and risk management. Contribute to quality initiatives and deliver continuing professional education.

This Individual Contributor role will support analytical initiatives across all of the Risk Org within the Fintech area of Jobber’s business. You will strengthen Jobber’s ability to protect against credit losses while adding a data-focused approach to risk decision-making.The mitigation of risk is a very important part of our service offering and, as such, prior experience with Fraud and Credit Risk is essential for success.