Quantitative Scientist, Forecasting & Demand Planning

Posted 54 Minutes Ago
Be an Early Applicant
Santa Ana, CA, USA
In-Office
187K-254K Annually
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Helping collectors to pursue their passion.
The Role
Build and deploy quantitative models forecasting collectible market dynamics, asset valuations, pricing trends, demand, and capacity. Use proprietary transaction and grading data, supervised machine learning, time-series forecasting, backtesting, experimentation, and feature engineering. Partner with Engineering, Product, Finance, Operations, and domain experts to productionize reliable models with monitoring, explainability, and feedback loops. Deliver insights supporting pricing, product, go-to-market, grading, authentication, and business planning.
Summary Generated by Built In

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 related field, with hands-on experience in pricing, demand forecasting, or asset valuation
  • Solid ML fundamentals — you’ve built and validated supervised models on real data and have helped get at least one into production, not just in notebooks
  • Strong Python and SQL — you’re fluent with the standard data stack (pandas, scikit-learn or similar) and comfortable working directly with large datasets
  • Financial modeling foundations — you're familiar with concepts like time series forecasting, scenario analysis, and asset pricing
  • Forecasting experience — you’ve built time series or demand forecasts and can produce scenario ranges (downside, base, upside), not just point estimates
  • Production mindset — you care about model reliability, monitoring, drift detection, and working closely with engineering teams
  • Comfort with ambiguity — you can make progress in a fast-moving environment and are comfortable working on problems with limited precedent
  • Ownership and follow-through — you can take a loosely defined problem, scope it, and carry it to a shipped result with guidance from your lead
  • Clear communication — you can explain your models and results to non-technical partners and back your recommendations with data
  • Intellectual curiosity about alternative assets — you're excited (not intimidated) by the prospect of modeling asset classes that don't have decades of structured financial data behind them

Nice to Haves


  • Experience in fintech or alternative/exotic asset valuation
  • Advanced degree (MS/PhD) in a quantitative discipline — statistics, applied math, CS, physics, economics, operations research, or similar
  • Exposure to demand planning or capacity planning in an operations-heavy business
  • Personal interest in collectibles, trading cards, coins, or related hobbyist markets (not required, but it helps)

Why This Role


  • Proprietary data. Collectors has authenticated and graded hundreds of millions of collectibles. You'll build models on top of a dataset that simply doesn't exist anywhere else.
  • Early-stage team. You'll join the Quantitative Sciences function near its start and help shape the models, the roadmap, and the culture.
  • Tangible business impact. The models you build will directly power how we price, plan capacity, and grow across a rapidly expanding market.
  • Category-defining work. Collectibles are becoming a recognized asset class. You'll help build the quantitative infrastructure that makes that possible.
  • Room to grow. You’ll work directly with the function’s leader, get hands-on coaching, and take on more scope as the team and the models mature.

Compensation & Benefits


The estimated salary for this role is $187,400 - $253,500. Actual compensation may vary based on relevant experience, qualifications, geographic location, and other role-specific factors.

Reasons To Join Us


  • Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision
  • 401(K) Matching Plan: We are proud to offer a competitive 401k matching plan to our employees to support their future financial goals
  • Vacation: All full-time employees are eligible for paid vacation
  • Holiday Pay: All regular, full-time employees are eligible for ten company-paid holidays
  • Employee Discounts: Employees receive discounts on select grading services for different segments
  • Flexible Hours: Many of our teams offer flexible schedules with varying shifts and work-from-home opportunities
  • Fun Working Environment: Our team members are invited to company-wide events, celebrations, and department outings

Collectors uses e-Verify to validate your ability to work legally in the United States.


We are aware that there are instances where individuals are receiving job offers that fraudulently allege to be from Collectors or one of our business units. This type of fraud can be carried out through false websites, through fake e-mails claiming to be from the company or through social media. We never ask for personal information such as your bank account, Social Security numbers or National IDs, nor do we send or request payments for the purchase of business-related equipment. If you suspect fraud, please reach out to [email protected].


We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.


If you require an accommodation to apply or interview with us due to a disability or special need, please email [email protected]


U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.


Skills Required

  • 3-5 years of experience in quantitative finance, data science, machine learning, or a related field
  • Hands-on experience with pricing, demand forecasting, or asset valuation
  • Experience building and validating supervised machine learning models on real data
  • Experience deploying at least one machine learning model into production
  • Strong Python and SQL skills
  • Experience with pandas, scikit-learn, or similar data science tools
  • Ability to work directly with large datasets
  • Knowledge of time-series forecasting, scenario analysis, and asset pricing
  • Experience producing downside, base, and upside forecast scenarios
  • Understanding of model reliability, monitoring, and drift detection
  • Ability to scope loosely defined problems and deliver shipped results
  • Clear communication skills for explaining models and results to non-technical partners
  • Experience collaborating with engineering teams to productionize models
  • Experience in fintech or alternative/exotic asset valuation
  • Advanced degree in statistics, applied mathematics, computer science, physics, economics, operations research, or a similar quantitative discipline
  • Exposure to demand planning or capacity planning in an operations-heavy business
  • Personal interest in collectibles, trading cards, coins, or related hobbyist markets

What the Team is Saying

Titapha
Ted
Mark
Jessy
Sun
Mike
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Ana, CA
2,246 Employees
Year Founded: 1986

What We Do

Collectors has multiple business lines that grade, authenticate, and sell millions of high-value, record-setting collectibles. We're the leader in third-party authentication and grading services for high-value collectibles including trading cards (Professional Sports Authenticator and Card Ladder), coins (Professional Coin Grading Services), video games (Wata), event tickets, autographs, and memorabilia, and with your help we can continue to grow rapidly. Our goal is to make the joy of collecting accessible to everyone - collectors looking to complete their set, inventors looking to maximize the value of their collection, and anyone who’s looking to preserve a game, card or coin that reminds them of fond memories in their lives. We’re entering an exciting new stage of growth as a result of our acquisition in 2021 led by entrepreneur and sports card collector Nat Turner, D1 Capital Partners L.P., and Cohen Private Ventures, in addition to renowned athletes and collectors. We’re investing in scalable, modern infrastructure to support the maturation of the industry, increasing value of collectibles, and demand for our services. Help us build a tech-enabled business for collectors. Our services span collectible coins, trading cards, video games, event tickets, autographs, and memorabilia through our subsidiaries, which include Professional Sports Authenticators (PSA), Professional Coin Grading Services (PCGS), Wata, Certified Coin Exchange (CCE), Collectors Corner, Set Registry, Collectors.com, and the Long Beach Expo collectibles trade show. Since our founding in 1986, we have graded and authenticated more than 80 million items. We employ over 1,000 people across our Santa Ana, CA headquarters, New Jersey, Seattle Hong Kong, Paris, Shanghai and Tokyo.

Why Work With Us

Collectors has long been the global leader in third-party authentication, grading, and valuation services for collectibles. This gives us the chance to disrupt the industry by applying technological advances to our services. We strive to be the most innovative organization in collectibles, building an ecosystem that celebrates the joy of collecting

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Collectors Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSanta Ana, CA
Company Office Image
Guadalajara, Jalisco
Jersey City, NJ
Mississauga, ON
Monheim am Rhein, DE
Plano, Texas
Shanghai, China
Tokyo, JP
Learn more

Similar Jobs

Collectors Logo Collectors

Photographer, PCGS

Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
In-Office
Santa Ana, CA, USA
2246 Employees
28-28 Hourly

Collectors Logo Collectors

Customer Relations Lead, PSA

Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
In-Office
Santa Ana, CA, USA
2246 Employees
28-28 Hourly

Collectors Logo Collectors

PSA Show Lead

Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
In-Office
Santa Ana, CA, USA
2246 Employees
26-26 Hourly

Collectors Logo Collectors

Director, Business Insights & Analytics

Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Remote or Hybrid
California, USA
2246 Employees
160K-260K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account