Engineering
Published onJuly 28, 2026

Quant Developer

Full-timeRemoteNew York City / San Francisco / Los Angeles / Remote (US & Canada)$175,000 - $200,000Equity in the company (amount unspecified)

Job Description

Gauntlet is looking for a Quant Developer to design, build, and operate the strategies behind one of the largest onchain asset managers, serving $1.5B+ in client TVL, with full ownership of strategy design, code, deployment, and production operation.

Responsibilities

  • Design and ship vault strategies across RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, and prediction markets
  • Optimize execution and gas-aware rebalancing
  • Run protocol and asset due diligence
  • Own risk parameters including supply caps, LLTV, and VaR exposure models
  • Integrate new protocols and chains
  • Build monitoring and alerting systems
  • Support launches with growth and capital-markets teams

What we are looking for

  • Track record building quantitative production systems (trading, portfolio optimization, market making, or risk)
  • Strong Python and software engineering fundamentals
  • Applied quant skills in optimization, statistics, and simulation
  • SQL and data pipeline experience
  • Production ownership and on-call experience

Additional Information

Gauntlet designs, simulates, and manages risk parameters and yield strategies for DeFi protocols and institutional vaults.

Perks and Benefits

  • Remote-first (US/Canada) with in-person retreats and an office-visit perk
  • 100% paid medical, dental, and vision
  • $1,000 work-from-home stipend
  • Monthly internet/phone reimbursement
  • Unlimited vacation
  • 100% paid 12-week parental leave
  • Fertility benefits
  • Incentive compensation opportunity

Keywords: Python, Quantitative modeling, DeFi, SQL, Risk management
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Gauntlet

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Gauntlet is building infrastructure that allows us to simulate and stress-test blockchain protocols, contracts, and network interactions at scale over a wide range of market conditions. Our models ingest a wide range of on-chain and off-chain data, and are continuously calibrated to the current crypto market structure so that our recommendations are always up-to-date. These models and infrastructure power our platform that currently manages risk and optimizes incentives for over $40B in assets.

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