Staff Analyst, Investor Analytics

Accountabilities:

• Partner directly with capital markets and lending teams to communicate portfolio performance, build investor confidence, and support tailored capital solutions for a home equity program.
• Own the credit performance narrative, analyzing delinquency, arrears, roll rates, vintage and cohort loss curves, model calibration, feature importance, and other indicators of portfolio risk.
• Translate complex credit and performance data into clear conclusions for institutional investors, internal leadership, and cross-functional stakeholders.
• Produce recurring reporting on yield, defaults, prepayments, and other portfolio metrics, using these insights to support pricing, structuring, and deal strategy.
• Build and maintain financial models, data pipelines, and automated monitoring infrastructure that make credit reporting more reliable and efficient.
• Use AI-assisted coding tools to accelerate pipeline development, recurring reporting, monitoring, and exploratory analysis.
• Collaborate with Machine Learning, Product, Engineering, Finance, and other teams to establish credit metrics, develop forecasts, and maintain alignment on product performance.
• Mentor junior team members and contribute to a strong culture of analytical rigor, credit expertise, and continuous innovation.

Requirements:

• 5+ years of professional experience in financial services, with a focus on credit and debt, including consumer or structured credit, private credit, structured products, securitization, or credit capital markets.
• Hands-on experience analyzing loan portfolio performance and credit risk, including delinquency, arrears, roll rates, vintage loss curves, and model calibration.
• Strong proficiency in Python and SQL, with experience working with large datasets, data modeling, and robust data pipelines.
• Experience with data and analytics technologies such as Databricks, Redshift, dbt, and business intelligence platforms.
• Bachelor’s degree in Finance, Economics, Statistics, Engineering, Data Science, or another quantitative discipline.
• Strong cross-functional collaboration skills, particularly when working with Finance, Product, Data Engineering, and Machine Learning teams.
• Ability to translate complex analytical findings into compelling, executive-ready narratives and presentations using tools such as Tableau, Power BI, or Looker.
• Familiarity with HELOC, home equity, or mortgage credit is an advantage, including knowledge of collateral valuation, lien position, CLTV, and property-level risk drivers.
• Experience building financial models involving lending cash flows, book-level profitability, valuation, pricing, structuring, or deal strategy is preferred.
• Familiarity with consumer credit capital markets, private credit, or structured products is a plus.
• Experience using agentic coding tools such as Claude Code, Codex, or similar technologies to develop analytics pipelines, automate reporting, or accelerate analysis is preferred.
• Ability to interpret and communicate model performance, calibration, feature importance, score-to-outcome alignment, and population drift to both technical and non-technical audiences.
• Comfortable working across East and West Coast U.S. time zones and participating in regular team onsites and in-person collaboration.

Benefits:

• Remote position available across the United States.
• Anticipated U.S. base salary of $157,000–$217,500 USD, depending on location, skills, experience, and education or training.
• Target bonus opportunities and annual equity grants.
• 401(k) with a company match of $2 for every $1 contributed, up to $15,000 annually.
• Employee Stock Purchase Plan with discounted stock purchase options for eligible U.S. employees.
• Comprehensive medical, dental, vision, and wellness coverage.
• Health Savings Account contributions for eligible plans.
• Life insurance and disability coverage.
• Paid time off, sick leave, and company holidays.
• Paid family and parental leave, with duration varying by location.
• Family-focused benefits supporting fertility, parenthood, and caregiving.
• Employee Assistance Program providing mental health and life-support resources.
• Financial wellness resources, including financial planning tools and financial concierge services.
• Annual wellness allowance supporting physical, emotional, and personal development needs.
• Annual productivity allowance for relevant tools and resources.
• Team events, company-wide updates, and employee resource groups that support connection and community.
• Regular team onsites, generally once or twice per quarter for 2–4 consecutive days.
• Flexible digital-first working environment designed to support remote collaboration and productivity.