Full Job Description
In this role, you'll build and own the inference layer behind our small business lending program; you'll ship it into production with the monitoring and documentation that make it trustworthy; and you'll help Credit and Product decide what we should be lending in the first place.
Here Are Some Things You'll Do On The Job:
• Build and own the models behind our lending program - transaction classification, recurring inflow/outflow detection, annual revenue estimation, forecasting with seasonality, anomaly detection, and more
• Turn messy data streams - bank transactions, storefront sales, and more - into a defensible view of a business's health
• Deploy models into a production environment with observability, monitoring, and tests
• Partner with Credit on underwriting policy: what data is asked for, when follow-up information is worth the friction, and how to quantify uncertainty
• Partner with Product on the shape of the product: from principal sizes and pricing to repayment terms
• Assess where predictive modeling actually moves the underwriting program
• Set the technical bar for ML in Credit
You Should:
• Have 3+ years building ML models, and at least 1 year in lending or credit algorithms
• Be opinionated and thoughtful on where ML can best lift an underwriting program
• Some exposure to using deep-learning / transformer models in a professional context
• Be strong in Python, with experience working on production-grade services
• Be strong in SQL and at home in a data warehouse
• Be able to explain a model to a credit officer, a model validator, a PM, and an engineer
• Be able to set modeling standards for your data-science colleagues
• Have a quantitative degree, or the equivalent built some other way
Nice To Have:
• Direct experience modeling on bank transaction data
• Experience in small business lending or business credit cards
• Experience with revenue-based financing, merchant cash advances, or similar products
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Total Rewards
The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
US employees (any location):
$166,600-$298,800 USD
Canadian employees (any location):
$157,400-$282,400 CAD
