Lead Quantitative ScientistWe9re looking for a Lead Quantitative Scientist to build and lead the quantitative modeling capability at the core of Collectors9 next phase of growth. You9ll own two critical domains: Lending & Underwriting - designing and scaling the ML and quantitative models that power automated underwriting for our lending business, where collectibles authenticated and graded by our brands serve as collateral - and Financial Forecasting - building predictive models that forecast collectible valuations, market dynamics, and pricing trends, strengthening the intelligence layer beneath PSA, Beckett, PCGS, and our broader ecosystem. You9ll operate as the founding, senior individual contributor going deep on modeling and infrastructure, with an opportunity to grow a high-caliber team over time.
You will report into VP of Corporate Development and Strategy and work out of the office from our Santa Ana, CA or Jersey City, NJ location. Remote or hybrid candidates will also be considered, this will be discussed further during the recruiting process. 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 You9ll Do:Underwriting & Lending Models- Design, build, and iterate on the ML and quantitative models that power Collectors9 automated underwriting engine for collectible-backed lending
- Develop collateral valuation models, credit risk frameworks, loss forecasting, and pricing models that operate reliably at scale
- Leverage Collectors9 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 & Leadership- Serve as the founding leader of the Quantitative Sciences function at Collectors
- Define the team9s roadmap, research agenda, and technical standards
- Collaborate cross-functionally with Product, Engineering, Finance, and Risk to translate business needs into modeling priorities
Who You Are:- 10+ years of experience in quantitative finance, data science, machine learning, or a related field, with meaningful depth in credit/lending, pricing, risk modeling, or asset valuation
- Strong ML fundamentals/Technical Rigor - you9ve built, validated, and deployed supervised/unsupervised models in production
- Financial modeling fluency - you9re comfortable with concepts like probability of default, loss given default, expected loss, time series forecasting, and asset pricing
- Production mindset - you care about model reliability, monitoring, drift detection, and working closely with engineering teams
- Entrepreneurial orientation - you thrive in ambiguous, fast-moving environments and are comfortable owning a problem end-to-end with limited precedent
- Emerging leadership skills - you may not have managed a large team yet, but you9ve mentored others, led projects, and are excited to grow into a people-leadership role
- Strong communication skills - you can translate complex quantitative concepts for non-technical stakeholders and influence decisions with data
- Intellectual curiosity about alternative assets - you9re excited (not intimidated) by the prospect of modeling asset classes that don9t have decades of structured financial data behind them
Nice to Have:- Experience in fintech, marketplace lending, or alternative/exotic asset valuation
- Advanced degree (MS/PhD) in a quantitative discipline - statistics, applied math, CS, physics, economics, operations 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 it helps)
The salary range for this position is $235,347-$331,754. 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 ask your recruiter for details.
Reasons To Join Us:- Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision
- Additional Benefits: Full-time employees are eligible for fertility, commuter, and educational assistance benefits
- 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 salaried employees are eligible for flexible time-off
- Holiday Pay: All regular, full-time employees are eligible for ten company paid holidays
- Employee Discounts: Employees receive discounts on select grading services for approved submissions
- Flexible Hours: Many of our teams offer flexible schedules with varying shifts and will work with you to accommodate your needs
- Fun Working Environment: Our team members are invited to participate in celebrations, holiday events, and team building activities
