Quant Developer

Emploi pas sur LinkedIn

🕒 il y a 13 jours

🌐 États-Unis, Canada – Distant

🇺🇸 États-Unis – Télétravail 🇨🇦 Canada – Télétravail

🏄 California, New York – Distant

🏄 California – Remote 🗽 New York – Remote

💵 $175 000 - $200 000 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🖥 Ingénieur Logiciel

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Gauntlet

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2018

💼 Conseil

📦 Logistique

₿ Crypto

Consulting • Logistics • Crypto

Gauntlet est une entreprise spécialisée dans la modélisation économique pour le domaine des cryptomonnaies, en se concentrant principalement sur les protocoles de finance décentralisée (DeFi). Elle offre des services complets de gestion des risques économiques, de conseil en infrastructure et de recherche appliquée pour optimiser les incitations économiques et stimuler une croissance durable des protocoles cryptographiques, des chaînes et des trésoreries sur chaîne. Gauntlet utilise des techniques avancées de modélisation des données et d’optimisation quantitative pour protéger plus de 35 milliards de dollars d’actifs et atténuer les risques associés à la DeFi. L’entreprise s’engage à faire progresser ses méthodologies et à offrir une expérience et un service solides à la communauté DeFi.

Description

• Design 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.

🎯 Exigences

• 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. This is a hands-on, quantitative role — not a discretionary trading seat. • Applied quantitative skills: optimization, statistics, and simulation, and the instinct to validate models against real data before trusting them. • Comfort with data infrastructure: SQL and experience building or consuming data pipelines. • Production ownership: you've debugged live systems under pressure and understand that a strategy managing other people's money has to be correct, monitored, and recoverable. • Clear technical communication. • Bonus points • Hands-on DeFi experience: lending protocols, ERC-4626 vaults, AMMs, or oracle systems — as a builder or a sophisticated user. • Solidity / EVM literacy: reading protocol contracts, forked-chain simulation (anvil), or writing adapters; non-EVM experience (e.g., Solana) also valued. • On-chain operational experience: multisig workflows, transaction submission and signing infrastructure, bridging. • TypeScript, and familiarity with a modern data stack (e.g., BigQuery, Dagster, Hex, GCP/Kubernetes). • Experience with risk modeling for volatile or thinly-traded assets: VaR, liquidation modeling, stress testing.

🏖️ Avantages

• Remote first — work from anywhere in the US & Canada • Regular in-person company retreats and cross-country "office visit" perk • 100% paid medical, dental, and vision premiums for employees • $1,000 WFH stipend • Monthly reimbursement for home internet, phone, and cellular data • Unlimited vacation • 100% paid parental leave of 12 weeks • Fertility benefits • Opportunity for incentive compensation