Senior Data Scientist - Credit and Lending ML

Mercury • San Francisco, NY

1d

About The Position

Mercury is building financial infrastructure for startups and growing businesses and extending credit using proprietary data such as bank transactions, financial reporting, and payroll. The Senior Data Scientist will partner with Credit, Product, and Engineering to build and own the inference layer for Mercury’s small-business lending program. This includes developing lending models, putting them into production with appropriate monitoring and documentation, and helping Credit and Product determine lending policies and product design.

Requirements

• At least 3 years of experience building machine-learning models.
• At least 1 year of experience in lending or credit algorithms.
• Be thoughtful and opinionated about where machine learning can best improve an underwriting program.
• Some professional exposure to deep-learning or transformer models.
• Strong Python skills and experience working on production-grade services.
• Strong SQL skills and familiarity with data warehouses.
• Ability to explain models to credit officers, model validators, product managers, and engineers.
• A quantitative degree or equivalent experience.

Nice To Haves

• Direct experience modeling bank transaction data.
• Experience in small-business lending or business credit cards.
• Experience with revenue-based financing, merchant cash advances, or similar products.

Responsibilities

• Build and own models for the lending program, including transaction classification, recurring inflow and outflow detection, annual revenue estimation, seasonal forecasting, and anomaly detection.
• Turn messy data streams, including bank transactions and storefront sales, into a defensible assessment of a business’s health.
• Deploy models in production with observability, monitoring, and tests.
• Partner with Credit on underwriting policy, including data requests, when follow-up information is worth the friction, and how to quantify uncertainty.
• Partner with Product on product design, including principal sizes, pricing, and repayment terms.
• Assess where predictive modeling can improve the underwriting program.
• Set the technical bar for machine learning in Credit.
• Set modeling standards for data-science colleagues.

Benefits

• Equity in the form of stock options or RSUs.
• Benefits are included in Mercury’s total rewards package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed