Please reference the schedule and minimum qualifications listed below before applying.

If you need assistance with filling out our application form or during any phase of the application, interview, or employment process, please notify our Human Resources Team at 801-366-6947 option 1 or email macurecruiting@macu.com and every reasonable effort will be made to accommodate your needs in a timely manner.

Job Summary

As a Product Manager specializing in Fraud Prevention and Detection, you will be at the forefront of safeguarding our digital ecosystem. You will leverage cutting-edge technologies such as artificial intelligence, machine learning, and blockchain to develop innovative solutions that protect our customers and business from fraudulent activities. Your role will involve strategic planning, cross-functional collaboration, and continuous improvement to ensure the highest standards of security and trust.
This position requires someone who can work collaboratively across teams, set clear goals, monitor progress, and ensure that fraud-related projects are delivered on time and within scope. Additionally, the Product Manager will be a key player in escalating issues, ensuring that resources are properly allocated, and pushing for the right business requirements to be met.

Job Description

LOCATION

Mountain America Center - Hybrid:

9800 S Monroe St
Sandy, UT 84070

SCHEDULE

Full Time

To be effective, an individual must be able to perform each job duty successfully.

Strategic Vision:

• Develop a long-term fraud prevention roadmap that aligns with the company's overall strategic goals. This involves understanding emerging fraud trends, anticipating future threats, and setting clear objectives for the fraud prevention team.
• Ensure the fraud product aligns with key business metrics such as transaction volume, fraud rate, customer friction, and operational efficiency.
• Regularly review and update the strategy to adapt to new challenges and opportunities in the fraud landscape.

Technology Integration:

• Collaborate with technology teams to integrate AI, ML, and blockchain solutions into the fraud detection systems. This includes selecting the right technologies, overseeing their implementation, and ensuring they work seamlessly with existing systems.
• Stay updated on the latest technological advancements and evaluate their potential to enhance fraud prevention efforts.
• Oversee the implementation and optimization of fraud detection solutions, such as transaction monitoring, identity verification, and anomaly detection systems.
• Evaluate and recommend the integration of third-party fraud prevention tools and platforms (e.g., TMX, Alloy, EWS, Mitek)

Data Analysis:

• Lead efforts to collect, analyze, and interpret large datasets to identify patterns and anomalies that may indicate fraudulent activities. This involves using advanced analytics tools and techniques to uncover insights that can inform decision-making.
• Develop and maintain dashboards and reports to monitor key fraud metrics and trends.

Cross-Functional Collaboration:

• Work closely with engineering, data science, legal, and compliance teams to ensure that fraud prevention measures are effectively integrated into the company's products and services. This involves coordinating efforts, sharing knowledge, and resolving any issues that arise.
• Foster a culture of collaboration and open communication across teams to ensure everyone is aligned to fraud prevention goals.
• Regularly communicate with leadership about the progress of fraud detection efforts, risk mitigation strategies, and the overall health of the fraud product.

Customer Focus:

• Understand customer behavior and design user-friendly fraud prevention solutions that enhance security without compromising the user experience. This involves conducting user research, gathering feedback, and iterating solutions to meet customer expectations.
• Communicate the value of fraud prevention measures to customers and build trust by demonstrating the company's commitment to their security.

Continuous Improvement:

• Monitor the effectiveness of fraud prevention measures and make data-driven decisions to enhance their performance. This involves regularly reviewing and analyzing key metrics, identifying areas for improvement, and implementing changes to optimize results.
• Stay informed about industry’s best practices and incorporate them into the company's fraud prevention strategy.

Regulatory Compliance:

• Ensure that all