Principal Quant & Data Science Lead

Sorry, this job was removed at 08:23 p.m. (CST) on Thursday, Jul 17, 2025
Easy Apply
Be an Early Applicant
Hiring Remotely in US
Remote
Fintech
ALT is a platform to research, transact, and secure alternative assets.
The Role

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.
Tech Stack

Python, SQL, AWS (S3, ECS, Lambda), Airflow, dbt, Postgres, Spark, XGBoost, sklearn, CatBoost, GitHub Actions. (Nice-to-have: TypeScript, FastAPI, Grafana, Datadog)

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
Compensation & Perks
  • 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.

Similar Jobs

Trail of Bits Logo Trail of Bits

Summer Internship 2026

Artificial Intelligence • Blockchain • Professional Services • Consulting • Cybersecurity • Defense • Generative AI
Remote
United States
125 Employees

SailPoint Logo SailPoint

Director/VP, Demand Programs (Sales Programs)

Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Remote or Hybrid
United States
2461 Employees
181K-336K Annually

Applied Systems Logo Applied Systems

Implementation Specialist

Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Remote or Hybrid
United States
3000 Employees
55K-75K Annually

Applied Systems Logo Applied Systems

Software Engineer

Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Remote or Hybrid
2 Locations
3000 Employees
60K-160K Annually
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
93 Employees
Year Founded: 2020

What We Do

We’re a passionate bunch dedicated to transforming collectible cards – and eventually other assets such as watches, sneakers, and art – into investable assets. Join our thriving team that is redefining the alternative investing space!

Why Work With Us

Curating experiences is at the core of everything we do and has been intentionally baked into how we think about employee experience and company culture. We care deeply about creating an intentional, transparent and inclusive culture that supports all employees. At ALT, we take pride in our empathy and growth mindset and we value this in others.

Gallery

Gallery

Similar Companies Hiring

Amplify Platform Thumbnail
Fintech • Financial Services • Consulting • Cloud • Business Intelligence • Big Data Analytics
Scottsdale, AZ
62 Employees
Camber Thumbnail
Social Impact • Healthtech • Fintech
New York, NY
53 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
70 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account