# Credit Risk Researcher at Gauntlet Networks

- Company: Gauntlet Networks
- What the company does: Explore Gauntlet DEX for yield strategies, staking rewards, and liquidity pools. Join Gauntlet Network for DeFi trading, futures, and referral benefits!
- Company website: https://gauntletnetwork.com
- Type: Startups
- Level: Mid level
- Location: New York
- Work setup: Remote
- Pay: $160K to $195K base salary per year (USD)
- Posted: 2026-06-24
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/gauntlet/052b6020-6b4d-4514-b2aa-3044297d63c3
- Page: https://www.1752.vc/careers/jobs/gauntlet-networks-credit-risk-researcher/

## About the role

The Credit Risk team runs due diligence on the assets, protocols, and chains supported by Gauntlet's lending and vault products, sets the guardrails that govern our lending activity, and monitors credit assets both off-chain and on-chain. You will work the full credit lifecycle - initial diligence and deal structuring through ongoing portfolio surveillance - across direct lending, structured facilities, and on-chain/off-chain securitization. You own the risk models, the parameters, and the monitoring cadence.

## What they're looking for

- 3–6 years in credit risk, structured finance, leveraged finance, or asset-backed lending at a leading financial institution, credit fund, or fintech lender
- Direct credit-underwriting experience: PD/LGD modeling, loss-curve and vintage analysis, advance-rate structuring, covenant design, and stress testing
- Hands-on exposure to one or more of: direct lending, warehouse facilities, ABS/CLO structuring, securitization, asset-backed finance, or structured credit
- Strong grasp of legal/structural credit concepts: SPV formation, bankruptcy remoteness, security-interest perfection, covenant packages, and waterfall mechanics
- Portfolio-monitoring experience: delinquency tracking, covenant compliance, borrower financial review, and early-warning systems
- Exceptional written and verbal communication - able to distill complex credit analysis into clear, actionable recommendations for non-credit stakeholders

Tags: Data
