Help redefine how institutional investors access and act on private market data.

We're building a derivatives exchange for private assets—bringing real-time pricing, transparency, and hedging strategies to venture capital, private equity, and pre-IPO markets.

Backed by deep financial and technical expertise, the team is transforming opaque markets into data-rich ecosystems.

As a Data Scientist, you'll design models that value illiquid assets, power pricing algorithms, and surface insights from complex, unstructured datasets. Your work will drive portfolio decisions for some of the most sophisticated investors in the world.

What You’ll Do:

Build statistical models and machine learning tools to value private assets
Design backtesting systems and risk metrics
Extract insights from transactional, time-series, and third-party data
Collaborate closely with quant, product, and engineering teams
Shape the analytical backbone of a new financial marketplace

What You Bring:

Strong Python skills and experience working with real-world financial data
Background in statistical modeling, ML, or quantitative finance
Familiarity with derivatives, risk metrics, and market structure
Bonus: time-series analysis, NLP, or experience with illiquid assets
Clear communication skills and curiosity about financial innovation

Ready to build the data layer of the private market revolution?

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