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Credit Risk Intern

Supports institutional credit underwriting, exposure monitoring, and asset-level risk analysis for digital asset lending and trading. The internship requires candidates pursuing a finance, economics, mathematics, or related quantitative degree with strong spreadsheet and financial analysis skills.

About the job

Responsibilities

  • Underwrite institutional counterparties, including hedge funds, asset managers, corporates, market makers, and banking and payment providers.
  • Recommend internal credit ratings and risk-based limits with written substantiation.
  • Monitor trading and bank partner exposures, conduct periodic portfolio reviews, and flag concentration risks or emerging trends.
  • Analyze asset volatility and liquidity risks on a per-asset and portfolio basis to support lending and trading product decisions.
  • Collaborate with product, sales, operations, and legal teams to resolve client or product challenges and deliver risk-informed solutions.
  • Research industry trends, regulatory developments, and crypto market dynamics to support thought leadership and continuous improvement.

Requirements

  • Currently pursuing a bachelor's or master's degree in finance, economics, mathematics, or a related quantitative discipline, with expected graduation in December 2026 or later.
  • Demonstrated interest in financial and capital markets, including coursework or projects involving credit analysis, financial statement interpretation, or portfolio risk concepts.
  • Proficiency in Excel or Google Sheets for quantitative analysis, modeling, scenario analysis, or data summarization.
  • Familiarity with the crypto economy or digital assets, or the ability to quickly learn new financial product domains.
  • Ability to use generative AI responsibly while maintaining human oversight and delivering business-ready outputs.

Skills

Credit Analysis, Financial Analysis, Portfolio Risk, Excel, Google Sheets, Quantitative Analysis, Scenario Analysis, Digital Assets, Generative AI, Capital Markets

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