Staff Analyst

Overview

This role supports credit analytics that help understand, forecast, and communicate credit performance across the organization. You’ll develop frameworks, infrastructure, and insights that connect AI-driven underwriting, portfolio performance, and funding strategy—ensuring decisions are grounded in rigorous, forward-looking views of risk and return.

Responsibilities

• Develop and maintain credit analytics used for portfolio monitoring, forecasting, valuation, and decision-making.
• Support loss forecasting, scenario analysis, portfolio performance measurement, and related reporting.
• Contribute to risk capital analytics for funding strategies, including securitizations, warehouse facilities, and forward-flow programs.
• Analyze portfolio trends and translate findings into clear recommendations for product, credit policy, finance, and funding stakeholders.
• Partner with cross-functional teams to align on definitions, metrics, analytical frameworks, and business requirements.
• Build and improve data models, pipelines, dashboards, and automated reporting to enable reliable, self-serve insights.
• Establish strong practices for analytical validation, monitoring, documentation, and governance.
• Communicate complex analyses clearly to both technical and non-technical audiences.

Requirements (Minimum Qualifications)

• 5+ years of experience in analytics, credit risk, quantitative finance, or a related field within fintech, financial services, consumer lending, or a similar industry.
• Experience with credit risk, loss forecasting, portfolio analytics, valuation, or related financial-performance frameworks.
• Working knowledge of risk capital or structured finance concepts, such as securitizations, warehouse facilities, forward-flow programs, or investor reporting.
• Strong SQL skills and proficiency in at least one programming language, such as Python or R.
• Experience working with large datasets and developing repeatable, well-documented analyses.
• Ability to turn complex analytical work into clear, actionable business insights.
• Strong written and verbal communication skills, with the ability to collaborate effectively across functions.

Preferred Qualifications

• Experience partnering with Machine Learning or Data Science teams, particularly in underwriting or model-performance monitoring.
• Familiarity with capital analytics, deal economics, and risk/return frameworks.
• Experience building analytics infrastructure, dashboards, automated reporting, or GenAI-enabled analytical solutions.
• Exposure to model governance, controls, audit, model validation, or valuation review processes.
• Demonstrated ability to manage analytical projects, influence stakeholders, and drive alignment.

Compensation & Benefits

United States (Remote) — Anticipated Base Salary Range

$157,000 - $217,500 USD

Canada (Remote) — Anticipated Base Salary Range

$140,300 - $175,000 USD

Base pay is one part of total compensation and will vary by geographic location. Additional compensation may include target bonuses and equity.

Benefits may include:

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
• Retirement benefits, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
• Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
• Comprehensive health coverage designed to support you and your family (medical, dental, vision, and wellness resources for US; supplemental health coverage for Canada)
• Health Savings Account contributions from the organization for eligible plans (US only)
• Income protection benefits, including life insurance and disability coverage
• Paid time off, sick leave, and company holidays, in line with local requirements
• Paid family and parental leave (duration varies by country)
• Family-centered benefits to support fertility, parenthood, and caregiving needs
• Employee Assistance Program (EAP) offering mental health support and life-centered resources
• Financial wellness resources, including financial planning tools and a financial concierge service (US only)
• Annual wellness allowance
• Annual productivity allowance

Location

• Position location: Remote
• Time zone requirements: West coast time zones
• Travel/onsite expectations: Most work can be accomplished remotely. Teams meet once or twice per quarter for 2-4 consecutive days at a time (in-person cadence varies by team and role).
• In-person collaboration options are available through offices in Columbus, Austin, the Bay Area, and New York City (opening Summer 2026).

Canada hiring note: The organization is not currently able to hire in Quebec.