Please reference the schedule and minimum qualifications listed below before applying.
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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 companys 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 ()
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 companys 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 companys 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 industrys best practices and incorporate them into the companys fraud prevention strategy.
Regulatory Compliance:
- Ensure that all fraud prevention strategies comply with relevant regulations and industry standards. This involves staying updated on regulatory changes conducting regular audits and working with legal and compliance teams to address any issues.
- Develop and maintain documentation to demonstrate compliance and support regulatory audits.
KNOWLEDGE SKILLS and ABILITIES
The requirements listed are representative of the knowledge skills and/or abilities required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job functions.
Experience
- 5 years in product management project management or a similar role with a focus on fraud risk management or security. This includes a track record of successfully leading projects developing strategies and implementing solutions that effectively mitigate fraud risk.
- Proven experience managing cross-functional teams and large-scale initiatives.
Education
- Bachelors degree in business Technology Risk Management or a related field OR additional four years of product management experience required. Advanced degrees preferred.
Licenses Certifications Registrations
- PMP Certification preferred
- Product Management Certifications preferred
Computer/Office Equipment Skills
- Advanced level skills for Microsoft Word Excel and other Office Suite products.
- Strong understanding of AI ML and blockchain technologies. This includes knowledge of how these technologies can be applied to detect and prevent fraudulent activities as well as familiarity with the tools and platforms used to implement them.
- Experience working with fraud prevention platforms and tools ()
- Working knowledge of analytics and business intelligence software such as PowerBI Tableau etc.
- Familiarity with payment systems digital wallets payment gateways and API security.
- Working knowledge of project management tools and software.
Language Skills
- Demonstrated ability to clearly express ideas methodology results and recommendations verbally in writing and through insightful reports and graphic illustrations
- Demonstrated ability to document outcomes and present information in a manner appropriate for key stakeholders and all levels of the organization.
Other Skills and Abilities
- Strong understanding of fraud detection methodologies risk management practices and technology stacks related to fraud prevention.
- Proficiency in data analysis and interpretation including the ability to work with large datasets use advanced analytics tools and derive actionable insights from data.
- Excellent analytical skills ( or data visualization tools likeTableauorPower BI) to identify patterns trends and anomalies in data that may indicate fraudulent activities. This involves a keen eye for detail and the ability to think critically and creatively to solve complex problems.
- Strong problem-solving skills to develop innovative solutions to emerging fraud threats and continuously improve existing measures.
- Proven experience in product management particularly with a focus on fraud prevention and detection is crucial. This includes a track record of successfully leading projects developing strategies and implementing solutions that effectively mitigate fraud risks.
- In-depth understanding of fraud trends techniques and tools across industries such as FinTech e-commerce banking gaming or insurance.
- Expertise infraud risk managementstrategies and tools includingtransaction monitoringidentity verification andanti-money laundering
- Experience working in fast-paced dynamic environments where adaptability and quick decision-making are key.
- Ability to effectively manage and prioritize multiple projects across workstreams.
- Strong problem-solving and issue resolution capabilities.
- Exceptional organizational and project management skills with keen attention to detail.
- Knowledge in Agile methodology Jira and confluence
PHYSICAL ABILITIES / WORKING CONDITIONS
Physical Demands
Ability to sit talk and hear consistently
Ability to stand walk and use hands to handle or reach occasionally
Vision Requirements
Close vision (clear vision at 20 inches or less)
Distance vision (clear vision at 20 feet or more)
Weight Lifted or Force Exerted
Ability to lift to 10 pounds occasionally
Environmental
There are no unusual environmental factors (such as a typical office)
Noise Environment
Moderate noise (business office with computers and printers light traffic)
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Mountain America Credit Union is an EEO/AA/ADA/Veterans employer.