Credit Risk Intern

United States Digital Space LLC; United States; Hybrid; USD 47,000 - 63,000; Full time

Benefits offered by this job

Remote-first

Quarterly in-person surges

Job summary

United States Digital Space LLC is offering a 12-week summer internship in Credit Risk within the Financial & Operational Risk subteam. You will support underwriting, monitoring, and analysis of counterparty and asset-level credit risk across the company’s global institutional client base.

You will underwrite institutional counterparties, monitor exposures, analyze asset volatility, and collaborate with product, sales, operations, and legal teams.

Qualifications

• Currently pursuing a bachelor's or master's degree in finance, economics, mathematics, or a related quantitative discipline with an expected graduation date of December 2026 or later.
• Demonstrated interest in financial and capital markets, with coursework or projects involving credit analysis, financial statement interpretation, or portfolio risk concepts.
• Proficiency in Excel or Google Sheets for quantitative analysis, including modeling, scenario analysis, or data summarization.

Responsibilities

• Underwrite institutional counterparties, including hedge funds, asset managers, corporates, market makers, and banking and payment providers, recommending internal credit ratings and risk-based limits with written substantiation.
• Monitor trading and bank partner exposures on an ongoing basis, conducting periodic portfolio reviews and flagging concentration risks or emerging trends to leadership.
• 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 contribute to the team's thought leadership and continuous improvement.

Skills

Excel/Sheets

Crypto assets

Quant analysis

Generative AI

Financial statement interpretation

Education

Bachelor's in Finance/Economics/Math

Master's in Finance

Job description

Ready to do the most impactful work of your career? Atthe company, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. the company is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”learn more about working at the company.

This is a 12-week internship during summer 2027.

Join the Credit Risk team within the Financial & Operational Risk subteam of Finance. You'll support the underwriting, monitoring, and analysis of counterparty and asset-level credit risk across the company's global institutional client base. Working alongside risk professionals and product teams, you'll gain hands-on experience evaluating complex exposures in digital asset lending and trading, and your work will directly inform credit decisions and risk reporting for leadership.

What you'll do:

• Underwrite institutional counterparties, including hedge funds, asset managers, corporates, market makers, and banking and payment providers, recommending internal credit ratings and risk-based limits with written substantiation.

• Monitor trading and bank partner exposures on an ongoing basis, conducting periodic portfolio reviews and flagging concentration risks or emerging trends to leadership.

• 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 contribute to the team's thought leadership and continuous improvement.

Required Skills and Experience:

• Currently pursuing a bachelor's or master's degree in finance, economics, mathematics, or a related quantitative discipline with an expected graduation date of December 2026 or later.

• Demonstrated interest in financial and capital markets, with coursework or projects involving credit analysis, financial statement interpretation, or portfolio risk concepts.

• Proficiency in Excel or Google Sheets for quantitative analysis, including modeling, scenario analysis, or data summarization.

• Familiarity with the crypto economy or digital assets, or a demonstrated ability to rapidly learn new financial product domains.

• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

Position ID: P78077

#LI-Hybrid

Pay Transparency Notice:

Depending on your work location, the target hourly rate for this position can range as detailed below.

Hourly Rate:

$40—$40 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.

• Equal Opportunity Employer: the company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.

• US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.

• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]the company.com.Need screen reading technology? Click here to download a free compatible screen reader and view thetutorial.

• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.