Fraud Detection and Prevention Lead

Location: California

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We’re always on the lookout for talented people to join our growing team.

Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder.

Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, China, Hong Kong, Canada, Mexico, Germany, and France.

We’re transforming the collecting experience with technology that brings authentication, grading, and trading into the modern era. Our products are equalizing the playing field by providing tools that make complex research analytics — including pricing, scarcity reports, and historic sales data — accessible to every collector, old or new. Our engineering mission is to democratize technology while promoting innovation, collaboration, and continuous learning throughout the organization.

We're seeking engineers to utilize advanced technology in agile settings, with a focus on improving the customer experience for every collector.

You’ll report to the VP of Engineering, Information Security and Platforms. Collectors is committed to utilize cybersecurity, risk and privacy best practices on our platforms, leveraging signal intelligence and observability at scale to protect our customers, employees and our brand. Remote or hybrid candidates will also be considered. We believe that there is significant value in in-person collaboration. If you live within a 1 hour commuting distance to one of our offices, you will be required to be onsite most of the time.

This will be discussed further as part of the recruiting process.

What You’ll Do:

* Analyze transaction and behavioral data to identify risk behavior patterns and develop new fraud-detection methods to proactively prevent them.
* Scale risk processes to cover an increasingly large and complex landscape of risks and effectively design strategies and solutions that might range from ML model features to manual review workflows
* Collaborate with internal partners across Engineering, Product, Data Science and Operations to design and deploy detection rules and features
* Optimize fraud rules and thresholds to reduce false positives while balancing customer experience and fraud loss
* Develop monitoring dashboards and alerting systems to track the performance of fraud prevention measures
* Partner with external payment networks and third-party fraud vendors to strengthen detection capabilities
* Deliver clear and actionable insights on fraud trends and financial impact to cross-functional stakeholders

Who You Are:
* Background in Finance, Mathematics, Computer Science, or a related field
* 7+ years of experience in risk or fraud detection, including developing rules, models and analytics
* 5+ years of hands-on SQL experience and are proficient in Python or similar scripting languages
* Strong analytical and statistical skills with experience in techniques like pattern recognition and unsupervised learning, and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
* Effective communicator and collaborator, with experience working across operations, data science, and engineering
* Excellent problem-solving skills, with the ability to work independently and handle multiple tasks.
* The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership

Salary Range:
* The salary range for this position is $196,482-$332,363. Actual compensation on this range varies based on a variety of non-discriminatory factors, including location, job level, experience, and skill set. This role may be eligible for bonuses, commissions, or other forms of compensation, please…