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Lead Quantitative Research Engineer

Alt

United States

Remote

USD 275,000 - 350,000

Full time

4 days ago
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Job summary

Alt is seeking a Pricing Engineer to own the pricing engine powering Alt Value across millions of cards. You will lead the development of robust forecasting models, ensure data integrity, and drive the production release of features. This senior role demands deep expertise in quantitative finance and machine learning, along with strong leadership capabilities to mentor a growing team. An attractive compensation package, including a base salary of $275K - $350K, equity, and comprehensive benefits, is offered.

Benefits

$200/month remote-work stipend
$100/month wellness stipend
WeWork access
Flexible PTO
Generous parental leave
Premium health, dental, vision, and HSA
401(k)

Qualifications

  • 9+ years in quantitative finance, ML engineering, or similar.
  • Deep time-series and forecasting experience.
  • Proven path from Jupyter to production with CI/CD.

Responsibilities

  • Design, train, and deploy models for predicting fair value.
  • Ingest and reconcile auction feeds and marketplace listings.
  • Own model orchestration with Airflow and real-time inference endpoints.

Skills

Time-series analysis
Forecasting
Model deployment
Python
SQL
Communication

Job description

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 Opportunity

You will own the pricing engine that sets Alt Value across millions of cards and future asset classes. Think of it as building Bloomberg Fair-Value for collectibles. You will architect the models, production pipeline, and monitoring that turn messy auction data into live data our customers trust.

What You’ll Tackle
  • Build the price engine. Design, train, and deploy time-series and tree-based models (XGBoost, CatBoost, sklearn, lightGBM) that predict fair value and forecast volatility.
  • Harden the data layer. Ingest and reconcile auction feeds, marketplace listings, and private-sale data. Handle splits, dupes, zero-comp situations, and stale marks.
  • Ship to production. Own model orchestration with Airflow, feature stores, real-time inference endpoints, and rollback strategies.
  • Quantitative R&D. Test market microstructure effects (extended bidding, buyer premiums, cash advances) and bake insights into pricing logic.
  • API & analytics. Expose Alt Value as a public API, power in-app price alerts, and deliver dashboards the business can act on.
  • Lead the function. Hire and mentor a small team of DS/MLEs and set the standard for code quality, review, and testing.
What You Bring
  • 9+ years in quantitative finance, ML engineering, or similar.
  • Deep time-series and forecasting experience, ideally on illiquid or auction assets.
  • Proven path from Jupyter to production with CI/CD, testing, and automated monitoring.
  • Track record of improving MAE or PnL with your models in live systems.
  • Fluent in Python, SQL, and modern data tooling.
  • Strong communication: you can explain heteroscedastic noise to engineers
  • Founder-level impact on a green-field pricing platform
  • $200 / month remote-work stipend, $100 / month wellness stipend, and WeWork access
  • Flexible PTO and generous parental leave
  • Premium health, dental, vision, and HSA
  • 401(k)
  • Base salary: $275K – $350K, plus equity. Offers may vary based on experience, location, and other factors.
Ready to Set the Market?

If you can price the unpriceable and want to define the reference rate for alternative assets, we would love to meet you. Apply with a short note on the most difficult model you have put into production and why it mattered.

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