Quantitative Risk Researcher

Traditional credit was built for people who already have money. Requirements for credit history, collateral, and costly underwriting create insurmountable barriers for those who need capital most. Over 1.4 billion people lack access to credit. A vendor in Lagos earns cash daily but can't prove a steady income. A Colombian nurse with years of perfect informal repayments remains invisible to banks.

We built an alternative called Credit. Since December 2024, it has issued hundreds of thousands of undercollateralized loans using stablecoins. People from around the world have used these loans to pay for things like groceries, medicine, and transportation. Backed by 6.6 million from Paradigm and Nascent, we're scaling a system that has already reached half a million unique borrowers. Help us take it to the next level.

About the role

We seek a talented individual to contribute to the risk engineering behind Credit, our leading undercollateralized lending system. You'll work on models that impact hundreds of thousands of users worldwide. You'll also develop tools for quantifying and monitoring risk.

Stack

• Python
• TypeScript
• Grafana / Prometheus
• Statistical modeling tools
• SQL

Key responsibilities

Requirements

Nice to have

Divine Research is an equal opportunity employer.

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