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Senior Data Scientist- Pricing & Underwriting
JOB SUMMARY
Roles
Job details
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 RoleAs 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 hereResearch, 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 contributor who thrives in a zero-to-one startup environment. Are a product-minded builder who wants to see their work deployed in a user-facing production application.
What you bring to the table5+ years of experience in Data Science, with a focus on feature engineering and algorithm/model-building in the pricing, financial modeling, or marketplace dynamics domains. Expert-level proficiency in SQL, Python, and populate Python libraries (Pandas, Scikit-Learn, XGBoost/LightGBM, PyTorch/Tensforflow). Statistical rigor and deep understanding of experimental design, backtesting methodologies, and dealing with "noisy" or sparse data environments. Collaborative experience working in a sprint-based environment alongside Data and ML Engineers; you understand enough about model hand-offs and quality code to ensure your models are efficient and readily "production-capable". Proficient in developing in cloud environments (AWS, GCP) and familiarity with ML Ops infrastructure (e. g. MLFlow, workflow and container orchestration, deployment and telemetry patterns). Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science is preferred. Compensation: $200,000What You’ll Get From UsA seat at the table to help shape the future of Alt and the alternative asset spaceAutonomy and ownership on projects that matter$100/month work-from-home stipend$200/month wellness stipendWeWork office stipend401(k) retirement
benefits
Flexible vacation policyGenerous paid parental leaveCompetitive healthcare
benefits
, including HSA, for you and your dependent(s).
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 RoleAs 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 hereResearch, 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 contributor who thrives in a zero-to-one startup environment. Are a product-minded builder who wants to see their work deployed in a user-facing production application.
What you bring to the table5+ years of experience in Data Science, with a focus on feature engineering and algorithm/model-building in the pricing, financial modeling, or marketplace dynamics domains. Expert-level proficiency in SQL, Python, and populate Python libraries (Pandas, Scikit-Learn, XGBoost/LightGBM, PyTorch/Tensforflow). Statistical rigor and deep understanding of experimental design, backtesting methodologies, and dealing with "noisy" or sparse data environments. Collaborative experience working in a sprint-based environment alongside Data and ML Engineers; you understand enough about model hand-offs and quality code to ensure your models are efficient and readily "production-capable". Proficient in developing in cloud environments (AWS, GCP) and familiarity with ML Ops infrastructure (e. g. MLFlow, workflow and container orchestration, deployment and telemetry patterns). Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science is preferred. Compensation: $200,000What You’ll Get From UsA seat at the table to help shape the future of Alt and the alternative asset spaceAutonomy and ownership on projects that matter$100/month work-from-home stipend$200/month wellness stipendWeWork office stipend401(k) retirement
benefits
Flexible vacation policyGenerous paid parental leaveCompetitive healthcare
benefits
, including HSA, for you and your dependent(s).
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Alt.xyz United States
