Staff Analyst, Investor Analytics

Responsibilities

• Partner with Capital Markets and Lending Partnerships to engage institutional investors, communicate platform strength, and craft capital solutions for the HELOC program.
• Own the credit performance narrative for the HELOC portfolio, including arrears, roll rates, vintage and cohort loss curves, model calibration, and feature importance.
• Produce recurring yield, default, and prepayment reporting for capital partners and internal teams.
• Build financial models, data pipelines, and automated monitoring for credit reporting using AI-assisted development tools such as Claude Code and Codex.
• Collaborate with Machine Learning, Product, Engineering, and Finance on credit metrics, narratives, and financial forecasts.
• Mentor junior team members and elevate data, credit, and analytics practices.

Requirements

• 5+ years of professional experience in financial services, focused 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.
• Proficiency in Python and SQL.
• Experience analyzing and explaining delinquency, arrears, roll rates, vintage loss curves, and model calibration.
• Experience with large datasets, data modeling, and robust data pipelines.
• Degree in Finance, Economics, Statistics, Engineering, Data Science, or another quantitative field.

Nice-to-haves

• Cross-functional collaboration with Finance, Product, Data Engineering, and Machine Learning teams.
• Executive-level storytelling and data visualization using Tableau, Power BI, or Looker.
• HELOC, home equity, or mortgage credit experience, including collateral valuation, lien position, CLTV, and property-level risk drivers.
• Financial modeling involving lending cash flows, book-level profitability, or valuation; experience supporting pricing, structuring, or deal strategy.
• Familiarity with consumer credit capital markets, private credit, or structured products.
• Experience with Claude Code, Codex, or similar agentic coding tools.
• Ability to interpret and communicate model calibration, feature importance, score-to-outcome alignment, and population drift.
• Experience with Databricks, Redshift, dbt, and business intelligence tools.

Compensation

• Anticipated base salary: $140,300–$217,500 annually.
• The role is remote within the United States or Canada outside Quebec, with East/West Coast time-zone requirements and periodic in-person collaboration.