What you'll doDesign and ship vault strategies: take a strategy from thesis and design doc through implementation, simulation, deployment, and live operation - RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, prediction markets, and new product types we haven't built yet.Optimize strategies: signals research, execution optimization, gas-aware rebalancing across tokens and chains, liquidity and duration management.Run protocol and asset due diligence: evaluate new protocols, collateral assets, and chains for inclusion in strategies - solvency mechanics, oracle design, redemption paths, liquidity depth, and more.Own risk parameters: supply caps, LLTV settings, concentration limits, VaR-based exposure models, and automated de-risking logic that pulls positions when conditions deteriorate.Integrate new protocols and chains: build and validate adapters for lending markets, DEX aggregators, and bridges; verify strategy behavior against forked-chain simulation before capital touches it.Monitor what you build: extend our risk-monitoring and alerting systems,
define the conditions that page someone, and participate in the on-call rotation for the strategies you own.Support launches and clients: partner with growth, capital markets, and client teams on new vault and strategy launches.A track record of building quantitative systems that run in production - algorithmic trading, portfolio optimization, market making, or risk systems at a trading firm, asset manager, fintech, or crypto-native company. This is often 2-8 years of experience, but we weight what you've built over years on a résumé.You write the code behind your strategies. Strong Python and solid software-engineering fundamentals: testing, code review, and the judgment to build durable abstractions rather than one-off scripts.Applied quantitative skills: optimization, statistics, and simulation, and the instinct to validate models against real data before trusting them.Comfort with d
📌 Quant Developer (España)
🏢 MLabs
📍 España