Credit Risk Analyst

About the role

In this role, you will be responsible for underwriting credit relationships and developing credit models for real-world assets. You will work closely with Capital Markets to structure credit products and monitor the portfolio's health, ensuring compliance and identifying risks early.

The team operates in a remote-first environment, allowing you to work from anywhere in the US and Canada. Your contributions will directly impact the management of over $1.5 billion in client total value locked, making your work crucial to the company's success in the evolving finance landscape.

The salary range for this role is between $160,000 and $195,000.

Skills that matter here

• credit risk: You will underwrite credit relationships and build models to assess risk.
• structured finance: Experience in structured finance will be essential for developing credit products.
• asset-backed lending: You will work with asset-backed lending frameworks and structures.
• Python: This role requires building and maintaining quantitative risk models in Python.
• R: You will also utilize R for quantitative risk modeling.

Who this role suits

• You have a solid background in credit risk or structured finance.
• You are detail-oriented and can distill complex information into clear insights.
• You thrive in a remote work environment and are comfortable collaborating across distances.
• You are proactive in monitoring and managing risks within a portfolio.

From the employer

• Underwrite institutional and on-chain credit relationships, and build/own the credit models for RWA assets — PD/LGD frameworks, vintage loss curves, advance-rate haircut schedules, and stress scenarios.
• Run the due-diligence gate for new credit and asset-issuer relationships: structured protocol reviews (solvency, oracle infrastructure, governance, security posture), historical on-chain data analysis, counterparty financials and legal structure, redlines, and final deal approval.
• Set the guardrails for each credit product: minimum rate floors, maximum terms, concentration limits per borrower and asset class, eligible collateral, and first-loss buffer sizing for tranched structures.
• Partner with Capital Markets on structuring: credit input on term sheets (rate, term, size, collateral, covenants, margin-call triggers); co-design trust tranches, covenants, advance-rate schedules, and facility limits for securitized products before close.
• Monitor the portfolio: borrower financial condition, covenant compliance, delinquency trends, and NAV integrity; flag deterioration early and work remediation or exit with Capital Markets.
• Stress the book: elevated delinquency, funding-rate shocks, correlated default, and originator failure — validating that structural protections hold under tail conditions.
• Maintain on-chain risk parameters: supply caps, LLTV settings, exposure thresholds, and related controls.
• Shape credit terms guidance (what we can offer, at what rate, term, and collateral conditions) and track emerging yield strategies, protocols, and issuers to give Curation a competitive edge.

• 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.
• Experience building or maintaining quantitative risk models in Python or R.

• Remote first - work from anywhere in the US & CAN!
• 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