About the company
We founded Ostium with a simple mission: Anyone with a digital wallet should be able to trade stocks, commodities, currencies, and crypto in one place, with full transparency. This started in a hacker house, running arbitrage on offshore CFD brokers - until they froze our accounts and withheld our deposits. We learned the hard truth: their terms meant nothing. The Market We're Going After. CFDs are the worldās largest retail derivatives market - over $10T monthly volume across every major asset class - but they're built on black-box execution, custodial discretion, and antiquated tech. Weāre turning that system on its head. Ostium is building a decentralized perpetuals protocol for real-world markets, with onchain transparency replacing blind trust. Spreads, liquidations, and collateral are visible to everyone. No brokers. No freezes. No hidden spreads.
Job Summary
Responsibilities
šRisk Engine Architecture: Architect and backtest core protocol parameters, including maintenance margins, liquidation thresholds, and insurance fund models for diverse asset classes. šMechanism Design: Optimize mathematical models for funding rates, open interest caps, and AMM logic to minimize toxic arbitrage and ensure market balance. šStress Testing: Build stochastic simulations to test protocol solvency against extreme volatility and black swan events. šSystem Optimization: Analyze post-trade data to detect inefficiencies in our oracle or margining systems and engineer quantitative solutions to fix them. šTradFi-to-DeFi Bridge: Adapt traditional derivative pricing models (VaR, Greeks) into gas-efficient logic suitable for on-chain execution.
Requirements
šQuantitative Fluency: Advanced background in Mathematics, Statistics, or Financial Engineering, with strong proficiency in Python (pandas, numpy, scipy). šDual-Domain Expertise: Deep understanding of both Traditional Finance derivatives (Futures pricing, options theory) AND DeFi primitives (AMMs, Perpetual DEXs). šRisk Systems Experience: Proven track record of building or auditing risk engines, margin models, or liquidation systems in HFT or DeFi. šMarket Microstructure: In-depth knowledge of the economics between liquidity providers and takers, including the relationship between inventory risk, spreads, volatility, and credit. šData proficiency: Experience using SQL for complex data querying.
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