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Senior Data Scientist- Pricing & Underwriting

Alt·Worldwide·Remote·senior
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Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform. The Role As a Pricing Data Scientist, you will be the architect of the logic behind the Alt Value, Alt’s core pricing model. You will research, design, and validate the science and models that will price millions of alternative assets in real-time. This role is highly collaborative; you will work alongside Expert Pricers to translate human intuition into mathematical features and partner with Data and ML Engineers to bring those models to life at scale. What you'll do here Research, develop, and ship sophisticated pricing models (e.g. Tree-based, Gradient-based, Deep Learning, ensemble methods) to improve valuation accuracy for high-value assets. Identify new data signals — emanating from data such as auction results to social sentiment — and validate their predictive power through rigorous backtesting and experimentation. Partner with the Product Engineering team to refine our Risk & Underwriting models, balancing the goal of maximizing cash advances with the need to maintain a balanced lending portfolio. Collaborate with the Expert Pricing team and domain experts to encode market nuances into automated features and inferences, ensuring our models respect the qualitative factors collectors care about. Define, monitor, and lift model performance metrics and communicate the "why" behind price coverage, movements, and freshness toward becoming the ultimate liquidity platform. This is a perfect fit if you... Are deeply curious about how value is assigned to unique, non-traditional, and conventionally “illiquid” asset classes. Are a hands-on individual contributo