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Quant Developer

1 month ago
United States, Canada
Full-time
Mid Level
Research Scientist
Software Development
Dagster GCP Kubernetes Python Solana SQL Statistics TypeScript
Apply Now

Gauntlet

Gauntlet is a DeFi infrastructure and research company that provides quantitative risk management, simulation, and institutional yield products for crypto-native financial applications and protocols. Its public materials emphasize safer onchain yield, protocol optimization, and institutional capital deployment.

Software Development
51-200
Founded 2018
View All Jobs 7

Description

  • Design, implement, deploy, and operate vault strategies from thesis through live production.
  • Optimize strategy performance through signals research, execution tuning, gas-aware rebalancing, and liquidity management.
  • Evaluate protocols, collateral assets, and chains for inclusion through due diligence and risk analysis.
  • Define and manage risk parameters such as supply caps, concentration limits, VaR models, and automated de-risking logic.
  • Build and validate integrations for lending markets, DEX aggregators, and bridges.
  • Test strategy behavior in simulation and forked-chain environments before deploying capital.
  • Monitor live positions and maintain risk-monitoring, alerting, and on-call support for owned strategies.
  • Partner with growth, capital markets, and client teams on new vault and strategy launches.

Requirements

  • 2–8 years of experience building quantitative systems in production, or equivalent demonstrated impact.
  • Strong Python skills and solid software engineering fundamentals, including testing and code review.
  • Experience with optimization, statistics, and simulation for quantitative decision-making.
  • Comfort with SQL and building or consuming data pipelines.
  • Experience debugging live systems under pressure and owning production reliability.
  • Clear technical communication skills.
  • Hands-on experience with DeFi protocols such as lending markets, ERC-4626 vaults, AMMs, or oracle systems (preferred).
  • Solidity/EVM literacy, including reading contracts or using forked-chain simulation tools like anvil (preferred).
  • Experience with on-chain operational workflows such as multisig, transaction signing, or bridging (preferred).
  • Familiarity with TypeScript and modern data tools such as BigQuery, Dagster, Hex, GCP, or Kubernetes (preferred).
  • Experience with risk modeling for volatile or thinly traded assets, including VaR, liquidation modeling, or stress testing (preferred).
  • Ability to work within the contiguous United States or Canada.

Benefits

  • Remote-first work from anywhere in the US and Canada.
  • Regular in-person company retreats and office visit perks.
  • 100% paid medical, dental, and vision premiums for employees.
  • $1,000 work-from-home stipend.
  • Monthly reimbursement for home internet, phone, and cellular data.
  • Unlimited vacation.
  • 100% paid 12-week parental leave.
  • Fertility benefits.
  • Opportunity for incentive compensation.
  • Base salary of $175,000–$200,000 plus OTE potential and equity.

Interested in this position?

Apply directly on the company website

Apply Now

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