Selby Jennings
Private Credit Analyst/Associate (San Francisco County)
Selby Jennings, San Francisco, California, United States, 94133
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
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