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Quantitative Scientist, Forecasting & Demand Planning

Job in Santa Ana, Orange County, California, 92725, USA
Listing for: Collectors
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 187000 - 254000 USD Yearly USD 187000.00 254000.00 YEAR
Job Description & How to Apply Below

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, Shanghai, Hong Kong, Canada, Mexico, Germany, the UK, and France.

As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process.

We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have.

We're looking for a Quantitative Scientist, Forecasting & Demand Planning to help build the quantitative modeling capability at the core of Collectors' next phase of growth.

This is unlike almost any other quantitative role in fintech or financial services. You'll be modeling asset classes — vintage sports cards, rare coins, sealed video games — where the data is uniquely ours, the domain expertise lives in-house, and the opportunity to build something from first principles is wide open.

You’ll join a small, early-stage team and work directly with its leader on modeling and infrastructure. We're looking for someone who wants to ship real models and grow quickly alongside the function.

What You’ll Do

Modeling & Production:

  • Leverage Collectors' proprietary grading, authentication, search and transaction data — one of the deepest datasets in the collectibles industry — as a core modeling advantage
  • Partner with Engineering to deploy models into production systems with appropriate monitoring, explainability, and feedback loops
  • Continuously improve model performance using new data sources, features, and methodologies
  • Partner with other members of the Product & Technology team to validate valuation models through rigorous backtesting and experimentation.
  • Collaborate with domain experts to improve feature engineering to ensure our models reflect the market nuances that drive sale prices
Financial Forecasting
  • Build quantitative models that forecast market dynamics, asset valuations, and pricing trends across collectible categories (cards, coins, comics, banknotes, games, and beyond)
  • Develop and refine intelligence that supports and enhances our grading and authentication businesses
  • Generate insights that inform product, pricing, and go-to-market strategy across the Collectors portfolio
Team & Collaboration
  • Join the Quantitative Sciences function as one of its first members, working directly with its leader
  • Contribute to the team's roadmap, research agenda, and technical standards
  • Collaborate cross-functionally with Product, Engineering, Finance, and Operations to understand business needs and turn them into well-scoped modeling work.
Who You Are
  • 3–5 years of experience in quantitative finance, data science, machine learning, or a…
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