Quantitative Analyst
Gondor is a DeFi layer for prediction markets. Their first product is a protocol enabling users to borrow against Polymarket positions, with plans to expand to additional markets and financial primitives. They recently raised $2.5M from Prelude, Castle Island Ventures, and Maven 11, and are hiring.
Funding
About Gondor
Gondor builds decentralized finance infrastructure for prediction markets, starting with a borrowing protocol that lets users use Polymarket positions as collateral. The platform is currently in beta, with intentions to extend support to more markets and introduce additional financial primitives over time. The company has secured $2.5M in funding from Prelude, Castle Island Ventures, and Maven 11, and invites integrations and inquiries via contact@gondor.fi while actively hiring across engineering and other roles.
Skills
About the Role
You will design and implement the liquidation engine and pricing models for prediction market collateral. You will define LLTV, partial-liquidation logic, penalties, keeper and auction flows, and circuit breakers. You will design robust pricing and oracle rules for illiquid assets, account for slippage and spread haircuts, and apply time-to-resolution adjustments. You will model cross-margin, netting rules, correlation haircuts, concentration and exposure caps, and run simulations and backtests on historical order books to tune parameters for insolvency versus utilization. You will use Python for simulation and backtesting and work with TypeScript where appropriate.
Requirements
- 3–10+ years in quantitative risk, options pricing, or margin systems (TradFi or crypto)
- MSc or PhD in a quantitative subject preferred
- Experience pricing binary options, perps/margin systems, or DeFi/NFT lending risk
- Built or significantly contributed to a liquidation or margin engine at a CEX, DEX, or lending protocol
- Strong Python for simulation and backtesting
- Comfort with TypeScript
- Deep understanding of order-book microstructure, slippage, and pricing under illiquidity
Responsibilities
- Design liquidation engine for Polymarket collateral
- Define LLTV and partial-liquidation logic
- Set liquidation penalties, keeper and auction flows, and circuit breakers
- Design pricing and oracle rules for illiquid prediction market assets
- Define mark price methodology, slippage and spread haircuts, and time-to-resolution adjustments
- Model cross-margin and netting rules across markets and outcomes
- Apply correlation haircuts, concentration caps, and exposure caps per event or category
- Run simulations and backtests on historical order books
- Perform extreme VaR and ES analysis
- Tune parameters for insolvency versus utilization tradeoffs
Benefits
- Equity