Remote Principal Credit Analytics Lead

United States Digital Space LLC; United States; Remote; USD 182,000 - 253,000; Full time

Job summary

United States Digital Space LLC is seeking a Principal Credit Analytics professional for a remote role across the US. You will lead forecasting, valuation, and risk capital analytics to inform portfolio strategy and funding decisions.

Responsibilities include building scalable analytics infrastructure, collaborating with ML, Finance, Product, and Engineering teams, and ensuring rigorous model governance. Strong SQL and Python (or R) skills and 7+ years of experience are required.

Qualifications

• 7+ years of experience in analytics, credit risk, or quantitative finance within fintech or financial services.
• Experience building or applying credit risk / loss forecasting, portfolio analytics, or valuation frameworks.
• Exposure to risk capital or structured finance concepts (e.g., securitizations, warehouse facilities, forward flow).

Responsibilities

• Own analytics domains within Credit Analytics (forecasting/valuation or risk capital).
• Develop and enhance credit forecasting and valuation methodologies.
• Contribute to risk capital analytics and reporting to support funding strategies.
• Translate analytics into actionable insights for product strategy and credit policy.
• Partner with ML, Finance, Product, Engineering, and Capital teams to integrate analytics into workflows.
• Build and scale analytics infrastructure (data models, dashboards, reporting tools).
• Uplevel analytical rigor with validation, monitoring, and governance of credit models.

Skills

Analytical thinking

Stakeholder communication

Cross-functional collaboration

Tools

SQL

Python

R

Job description

United States Digital Space LLC is seeking a Principal Credit Analytics professional for a remote role across the US. You will lead forecasting, valuation, and risk capital analytics to inform portfolio strategy and funding decisions.

Responsibilities include building scalable analytics infrastructure, collaborating with ML, Finance, Product, and Engineering teams, and ensuring rigorous model governance. Strong SQL and Python (or R) skills and 7+ years of experience are required.