Senior Machine Learning Modeler, Treasury

Job Description

Gusto is seeking a Senior Machine Learning Modeler to drive machine learning and AI in cash flow prediction. The ideal candidate will build innovative models that enhance the accuracy and reliability of cash flow forecasts within the Gusto Ecosystem. This role involves collaborating with Treasury, Engineering, Design, and Product teams to build platforms that leverage ML and AI to create a world-class, highly secure platform.Responsibilities:

• Build and deploy machine learning models and monitor model performance.
• Drive research in the problem space and work with stakeholders to understand model requirements.
• Develop the model from scratch, deploy it alongside engineering counterparts, and maintain its performance.
• Partner with Treasury, Engineering, Design, and Product counterparts to solve complex cross-functional problems.
• Forecast daily and long-term cash positions and critical variables driving balance change.
• Define key trends/metrics impacting balances and leverage modeling for scenario analysis.
• Present and communicate results to stakeholders across the company.

Requirements:

• 5+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning.
• Proven experience in modeling using logistic regression, random forest, Xgboost, or neural networks.
• Experience applying statistical and modeling techniques using Python, R, or another statistical modeling language.
• Strong programming skills and comfort with all phases of the data science development process.
• Ability to differentiate variables critical to the model's success.
• Excellent communication skills to deliver findings and recommendations to non-technical stakeholders.
• PhD or Masters plus equivalent experience in a quantitative field is a plus.
• Experience in the payments, banking, or Fintech industry is a plus.

Gusto offers:

• A collaborative and inclusive workplace.