Asks for

The ad says“Fluency with AI-assisted development tools such as Cursor, Claude Code, or similar coding agents.”
The ad says“Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).”
The ad says“Fluency with AI-assisted development tools such as Cursor, Claude Code, or similar coding agents.”
The ad says“Fluency with AI-assisted development tools such as Cursor, Claude Code, or similar coding agents.”
The ad says“Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).”
The ad says“Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).”
The ad says“Experience with Looker, Tableau, Omni, or similar data visualization tool.”
The ad says“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.”
The ad says“Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).”
The ad says“Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).”
The ad says“Experience with Looker, Tableau, Omni, or similar data visualization tool.”
The ad says“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.”
The ad says“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.”
The ad says“Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).”
The ad says“Strong experience with SQL and experience transforming and structuring large datasets into reusable formats.”
The ad says“Experience with Looker, Tableau, Omni, or similar data visualization tool.”
The ad says“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.”
The ad says“Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).”

To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. You can read about our culture principles here.

We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here.

If you are an Internal Candidate, please apply via our Internal Job Board.

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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.

As a Lead Forecast Modeling Analyst, you will:

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.

You are a strong fit for this role if you have:

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.

We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $140,000 - $190,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.

Posting Date: August 14, 2026
*This role will stay open for a minimum of 3 days.

Guild partners with the country’s most innovative employers, including Chipotle, Target, Walgreens, JPMorgan Chase, Hilton, Spectrum, PepsiCo, Tyson, and more, to build the talent needed for today and a resilient workforce for tomorrow. Guild helps employers identify, develop, and mobilize internal talent, enabling workers to gain skills for in-demand roles and companies to stay agile.

By connecting employees to real-world learning, coaching, and career support, and providing companies with actionable talent insights, Guild transforms all talent into high-impact contributors and positions companies for long-term, sustainable growth. For more information, visit https://www.guild.com.

Guild is a female-founded, certified B Corp. The company has been recognized by Fortune’s Change the World list (2021, 2025), the Forbes Cloud 100 (2020–2025), Great Place to Work (2022–2025), CNBC’s Disruptor 50 (2021–2024), TIME’s 100 Most Influential Companies (2022), Inc.’s Best-Led Companies (2021), Fast Company’s World Changing Ideas (2020), and B Lab’s Best for the World (2019), among many others.

Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following 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

Our home and headquarters in Denver, but some of our roles allow for remote work, allowing us to reach the best talent across the US. Please refer to the job location referenced below the job posting title to determine location. Roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D.C. State locations and specifics are subject to change as our hiring requirements shift.

PRIVACY NOTICE

I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment.

I understand and agree to Guild's use of my information in accordance with Guild's Privacy Policy and, for applicants that are residents of the State of California, Guild's Applicant Privacy Notice and California Notice at Collection.