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Credit Risk Researcher

Gauntlet · New York, United States

External listingfull-timeabout 1 month ago

About The Role

Join Gauntlet, a leading company in the DeFi space, as a Credit Risk Researcher. In this role, you will be responsible for conducting due diligence on assets, protocols, and chains supported by Gauntlet's lending and vault products. You will work across the full credit lifecycle, from initial diligence and deal structuring to ongoing portfolio surveillance. You will own the risk models, parameters, and monitoring cadence, and partner with Capital Markets, Product, and Engineering teams. This is a full-remote and hybrid-friendly position with a range of benefits, including health insurance, 401k matching, unlimited vacation days, and access to the Tribeca NYC office.

  • Conduct due diligence on assets, protocols, and chains supported by Gauntlet's lending and vault products, and set the guardrails that govern lending activity.
  • Work the full credit lifecycle, from initial diligence and deal structuring through ongoing portfolio surveillance, across direct lending, structured facilities, and on-chain/off-chain securitization.
  • Own the risk models, the parameters, and the monitoring cadence, and partner with Capital Markets on structuring and with Product and Engineering to embed credit controls directly into on-chain infrastructure.
  • Direct credit-underwriting experience: PD/LGD modeling, loss-curve and vintage analysis, advance-rate structuring, covenant design, and stress testing
  • Portfolio-monitoring experience: delinquency tracking, covenant compliance, borrower financial review, and early-warning systems
  • Hands-on exposure to one or more of: direct lending, warehouse facilities, ABS/CLO structuring, securitization, asset-backed finance, or structured credit
  • Exceptional written and verbal communication - able to distill complex credit analysis into clear, actionable recommendations for non-credit stakeholders
  • 3–6 years in credit risk, structured finance, leveraged finance, or asset-backed lending at a leading financial institution, credit fund, or fintech lender
  • Strong grasp of legal/structural credit concepts: SPV formation, bankruptcy remoteness, security-interest perfection, covenant packages, and waterfall mechanics
  • Experience building or maintaining quantitative risk models in Python or R
  • On-chain credit protocols, DeFi lending markets, or tokenized-asset structures (e.g., Morpho, Aave, tokenized ABS)
  • Crypto-native credit risk: smart-contract risk, oracle failure, depeg events, and on-chain collateral liquidity
  • Prior work with RWA issuers, fintech lenders, or asset originators — understanding the pipeline and servicing behind the loan tape
  • Exposure to prime-brokerage credit, repo, or securities financing from a risk perspective

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