Private Credit Analyst/Associate


San Francisco
Permanent
USD100000 - USD125000
Financial Technology
PR/553116_1764620811
Private Credit Analyst/Associate

Job Opportunity: Analyst or Associate - Asset-Backed Credit Investing

Location: San Francisco, CA Employment Type: Full-Time | Hybrid (3 days in-office, 2 days remote)

About the Firm

Our client is a rapidly growing private credit investment firm with over $1B in assets under management. The firm specializes in providing structured, asset-backed financing to early-stage, venture-backed fintech companies. Their investment strategy centers on creating SPV facilities backed by collateralized receivables-such as credit cards, charge cards, loans, and revenue-based financing.

With a typical deal size ranging from $25M to $200M (sweet spot around $40M), the firm plays a pivotal role as the first institutional lender, helping fintechs scale before transitioning to traditional bank financing. The San Francisco office is a key part of their U.S. investment strategy, which operates alongside a separate emerging markets strategy.

Role Overview

We are seeking a highly motivated Analyst or Associate to join the asset-backed credit investing team in San Francisco. This client-facing role blends financial analysis, structured finance expertise, and strategic engagement with fintech borrowers.

Key Responsibilities

  • Perform due diligence and credit analysis on fintech lenders and their loan portfolios

  • Evaluate loan performance data using structured finance methodologies

  • Collaborate with internal teams to structure and execute transactions

  • Build financial models and investment presentations

  • Engage directly with clients to understand funding needs and tailor financing solutions

Qualifications

  • 2+ years of experience in asset-backed credit, structured finance, or related fields

  • Backgrounds in ABS banking, credit risk, ratings agencies (e.g., KBRA, Kroll), fintech capital markets, project finance, or litigation finance are highly relevant

  • Strong quantitative skills and experience with loan-level data analysis

  • Coding proficiency (Python, SQL, etc.) is strongly preferred

  • Familiarity with legal documentation and deal structuring is a plus

  • Excellent communication skills for interfacing with clients and internal stakeholders

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