Lead Quantitative Scientist

Collectors is a leading technology company dedicated to modernizing the collectibles industry. This position is for a Lead Quantitative Scientist who will build and lead the quantitative modeling capability for lending, underwriting, and financial forecasting.

• Underwriting & Lending Models
  • Design, build, and iterate machine‑learning and quantitative models that power automated underwriting for collectible‑backed lending.
  • Develop collateral valuation models, credit‑risk frameworks, loss forecasting, and pricing models that operate reliably at scale.
  • Leverage proprietary grading, authentication, search, and transaction data as a core modeling advantage.
  • Partner with Engineering to deploy models into production systems with monitoring, explainability, and feedback loops.
  • Continuously improve model performance using new data sources, features, and methodologies.
  • Collaborate with Product & Technology teams to validate valuation models through rigorous backtesting and experimentation.
  • Work with domain experts to refine feature engineering so that models reflect 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 grading and authentication businesses.
  • Generate insights that inform product, pricing, and go‑to‑market strategy across the Collectors portfolio.
• Team & Leadership
  • Serve as the founding leader of the Quantitative Sciences function.
  • Define the team’s roadmap, research agenda, and technical standards.
  • Collaborate cross‑functionally with Product, Engineering, Finance, and Risk to translate business needs into modeling priorities.

• 10+ years of experience in quantitative finance, data science, machine learning, or a related field, with depth in credit/lending, pricing, risk modeling, or asset valuation.
• Strong machine‑learning fundamentals—built, validated, and deployed supervised/unsupervised models in production.
• Financial modeling fluency—comfortable with concepts such as probability of default, loss given default, expected loss, time series forecasting, and asset pricing.
• Production mindset—care about model reliability, monitoring, drift detection, and close collaboration with engineering teams.
• Entrepreneurial orientation—thrive in ambiguous, fast‑moving environments and own problems end‑to‑end.
• Emerging leadership skills—experienced mentoring, leading projects, and excited to grow into a people‑leadership role.
• Strong communication skills—translate complex quantitative concepts for non‑technical stakeholders and influence decisions with data.
• Intellectual curiosity about alternative asset classes—excited by the prospect of modeling valuables with limited structured data.

• Experience in fintech, marketplace lending, or alternative/exotic asset valuation.
• Advanced degree (MS/PhD) in a quantitative discipline—statistics, applied math, CS, physics, economics, operational research, or similar.
• Experience building underwriting or credit decisioning systems from scratch.
• Familiarity with alternative data sources and feature engineering for non‑traditional collateral or thin‑file credit assessment.
• Personal interest in collectibles, trading cards, coins, or related hobbyist markets (not required, but helpful).

• Health Insurance:
  Medical, Dental, and Vision for full‑time employees.
• Fertility, commuter, and educational assistance benefits for full‑time employees.
• 401(k) matching plan.
• Flexible time‑off and vacation for salaried employees.
• Ten company paid holidays for regular, full‑time employees.
• Employee discounts on select grading services for approved submissions.
• Flexible hours and varying shift schedules to accommodate needs.
• Fun working environment with celebrations, holiday events, and team building activities.

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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 classes protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better serve the diverse community of collectors we support.

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