Quant Developer

Описание вакансии

Quant Developer

Full-time/Company: Gauntlet

Gauntlet builds the financial systems of the future, operating across the full onchain stack to deliver vault products for institutional clients. The team serves $1.5B+ in client TVL and combines traditional finance and crypto-native expertise to build durable, sophisticated products.

Only candidates who can work within the contiguous United States and Canada may be considered.

Responsibilities:

• Design and ship vault strategies end-to-end: research, implementation, simulation, deployment, and live operation.
• Optimize strategies: signals research, execution optimization, gas-aware rebalancing, liquidity and duration management.
• Run protocol and asset due diligence: evaluate solvency mechanics, oracles, redemption paths, and liquidity depth.
• Own risk parameters: supply caps, LLTV, concentration limits, VaR-based exposure and automated de-risking logic.
• Integrate new protocols and chains: build adapters, validate behavior against forked-chain simulation.
• Monitor and operate live strategies: extend risk-monitoring, define alerts, and participate in on-call rotation.

Requirements:

• Track record building quantitative systems in production (algorithmic trading, portfolio optimization, market making, risk systems).
• Strong Python and solid software-engineering fundamentals (testing, code review, durable abstractions).
• Applied quantitative skills: optimization, statistics, simulation, model validation against real data.
• Comfort with data infrastructure: SQL and experience with data pipelines.
• Production ownership: debugging live systems under pressure and ensuring recoverability.
• Clear technical communication.

Nice to have:

• Hands-on DeFi experience: lending protocols, ERC-4626 vaults, AMMs, or oracle systems.
• Solidity / EVM literacy and forked-chain simulation (anvil); non-EVM experience also valued.
• On-chain operational experience: multisig workflows, transaction submission/signing, bridging.
• TypeScript and familiarity with modern data stacks (BigQuery, Dagster, Hex, GCP/Kubernetes).
• Experience with risk modeling for volatile or thinly-traded assets: VaR, liquidation modeling, stress testing.

Stack:

Python, SQL, Solidity / EVM, ERC-4626, AMM concepts, Anvil (forked-chain simulation), TypeScript, BigQuery, Dagster, Hex, GCP, Kubernetes

Benefits:

• 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

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