Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment, and check cashing services, offering a reliable omnichannel experience. With over 490,000 locations in 160+ countries around the world, we believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.
We’re looking for a data-driven, results-oriented Product Manager to join our checkout product team in Denver, with a focus on fraud detection and prevention. You will be responsible for driving the execution of the team’s roadmap. You will partner with the fraud team and technology to develop capabilities that reduce fraud while minimizing false positives. This is an exciting opportunity to shape the future of fraud prevention in money transfer.
What You'll Do:
- Collaborate with the fraud team, engineering, and line-of-business teams to drive the execution of the product roadmap focused on fraud detection and prevention;
- Manage and analyze the performance of fraud detection and prevention measures, ensuring their effectiveness;
- Work closely with engineering to build and enhance fraud prevention capabilities;
- Combine data analytics, product metrics, user experience research, competitive and market analysis, and company goals to inform prioritization of the product backlog;
- Track and analyze metrics compared to industry benchmarks, publish reports on product performance, trends, and risks/opportunities for both short and long term;
- Help define new product features or optimizations of existing products focused on reducing fraud and false positives, and incorporate them into the roadmap;
- Create concise, compelling business cases that lead to buy-in from managers and senior leaders;
- Engage with stakeholders to ensure alignment and clear communication of goals and progress;
- Identify opportunities for automation and process improvement to enhance efficiency and productivity.
Requirements
- 3 – 5 years of experience in product management with a focus on fraud detection and prevention preferred;
- Bachelor’s degree in computer science, business administration, or related field;
- Strong understanding of fraud detection and prevention technologies and methodologies;
- Experience with data analytics and metrics tracking tools;
- Strong analytical mindset with the ability to interpret data, draw insights, and make data-driven decisions;
- Experience collaborating with engineering teams to develop and implement product features;
- Experience in software development practices and agile methodology;
- Creativity, resourcefulness, and a detail-oriented approach;
- Strong communication skills and fluent in English;
- Ability to articulate the "why" behind product decisions clearly and leverage data to get buy-in from other stakeholders;
- Experience shipping products to users and understanding what makes a good product;
- Start-up experience; ability to wear many hats and understand the whole product and how its pieces interact;
- Strong problem-solving skills and the ability to adapt to changing priorities in a fast-paced environment.
Bonus points for:
- Experience in the fintech industry;
- Familiarity with international money transfer systems and compliance requirements;
- Knowledge of machine learning models for fraud detection;
- Experience with risk management and fraud prevention tools;
- Understanding of data privacy regulations and their impact on fraud prevention strategies.
Benefits
- Medical, Dental & Vision Insurance
- 401K Plan with Match
- Employee Stock Purchase Plan
- Paid Vacation / Sick Leave
- Hybrid Work Schedule
- 1 month per year to work remotely anywhere in the world
- Tuition Assistance
- Growth Opportunities
- Corporate gatherings, team bonding events, and much more!
The range in Colorado for this position is $100,000 - $125,000. Actual starting compensation may vary based upon work experience, and skills.
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Last updated on Jul 15, 2024