Lead Forecasting & Financial Analyst

GuildDenver, CO
Remote

About The Position

Guild is hiring a Lead Forecast Modeling Analyst to scale the impact of our Forecasting and Financial Analytics team. You'll own and improve critical components of our most complex and most important forecasting model — working inside a modern, modular forecasting system and experimentation framework to drive step-change improvements in how well we forecast clients' education benefit program.

Requirements

  • 5+ years of total experience in analytics, data science, forecasting, or financial planning & analysis.
  • Strong experience with SQL and experience transforming and structuring large datasets into reusable formats.
  • Proficiency in Python and/or R, with depth across time-series and machine learning forecasting methods and sound judgment about the tradeoffs among accuracy, interpretability, and stability.
  • Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).
  • A track record of getting productive quickly in an existing codebase and improving it collaboratively.
  • Experience with Looker, Tableau, Omni, or similar data visualization tool.
  • Fluency with AI-assisted development tools such as Cursor, Claude Code, or similar coding agents.
  • The ability to translate forecasts, including their uncertainty, into clear recommendations for non-technical stakeholders.

Responsibilities

  • Develop and improve the usage-based forecasting models for critical components of clients' education benefit with Guild, using advanced statistical and machine learning techniques.
  • Raise forecast accuracy and shorten the monthly refresh cycle, using a backtesting and experimentation framework to test methodological changes with rigor.
  • Build tooling and process to catch correctable model issues.
  • Transfer modeling logic out of individual heads into well-structured, documented, tested code, building redundancy on a business-critical forecast.
  • Partner cross-functionally with Analytics, Data Science, Data Engineering, Product, and Technology teams to improve the data, systems, and infrastructure the forecast depends on.
  • Mentor and guide junior team members, fostering a culture of continuous learning and innovation.
  • Produce insights, analyses, and recommendations to help internal stakeholders understand forecast drivers and the impact on client and internal business metrics.

Benefits

  • Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO)
  • Access to a 401k to help save for the future
  • Vacation policy to rest and recharge
  • 8 days of fully-paid sick leave, to take the time to heal and or recover
  • Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 2-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits.
  • Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
  • Education benefits and tuition assistance to help your future development and growth
  • Stock options
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