Senior Quantitative Analyst - Digital Assets

Senior Quantitative Analyst/ Data Scientist - Risk Modelling

The company: yields.digital is the risk and trust layer for institutional DeFi. We've built a wallet-level risk analysis solution that helps institutional clients manage portfolio exposure across onchain assets. Live on EVM chains with 13 protocols, 36 assets, and 359 pools currently modelled. Our mission: turn onchain data into actionable risk insights that let professionals safely scale into DeFi.

The role:

You'll own the quantitative aspects of our risk framework – improving on our current models and expanding it to cover new protocols, asset classes, and risk vectors. Your work ships directly into production; clients see your models within weeks.

What you'll actually do:

• Audit & refine the current framework. Review our current risk scoring model. Identify gaps and validate models. Propose concrete improvements with testing. Build the requirements, formulas, etc, for tech team implementation.
• Expand to new protocols & assets. We're expanding to further protocols this quarter. For each, you'll design the models to include counterparty risk, concentration risk, liquidation curves, whatever applies. Hand off specs to tech for integration.
• Design new risk dimensions. We know Credit, Market, Liquidity, Event, Performance aren't the whole story. What's missing Design, test, measure impact.
• Ship production-ready models. Hand-off to the tech team includes: clean specs, test data, validation methodology. No ambiguity.

You'll spend roughly 70% building/refining models, 10% client conversations, 20% reviewing engineering integration.

Who we need:

• 5+ years in quantitative finance or DeFi analytics (or hybrid: 2yrs institutional quant + 2yrs onchain data work).
• Deep familiarity with onchain data (Dune, The Graph, transaction-level analysis, whatever your tool is).
• Comfortable in Python, or equivalent. You can prototype quickly.
• You've built financial models before - risk scoring, portfolio analysis, stress testing - and shipped them.
• You think in mechanisms. You understand liquidity pools, smart contract risk, liquidation dynamics, counterparty structure.

Who we're not hiring:

• People who need several months to learn DeFi, risks or TradFi - you need that knowledge upfront.
• People job-hunting for stability - we're moving fast and iterating, not providing a safe 9-5 space.

Compensation & logistics:

• Months 1–3 (client onboarding phase): Equity-based compensation
• Month 4+ (post-funding): Salary + equity (competitive for a Seed level)
• Remote, but Asian timezone preferred for team sync (team is in Bangkok; other timezones welcome if async works).

The startup reality check:

This is not a cushy job. It's rewarding but hard. You'll ship something incomplete, learn what broke in production, fix it under pressure, and repeat. Every week something changes. Your models are scrutinized by clients with real money on the line. If you want predictability, a long runway before impact, or a relaxed pace- this isn't it. If you thrive on building something people use immediately and you can stay calm when requirements shift - you'll love it.