Divine ยท 2 months ago
Quantitative Risk Researcher
Divine Research is focused on providing alternative credit solutions to those who lack access to traditional banking. The role involves contributing to the risk engineering of their undercollateralized lending system, developing models and tools to quantify and monitor risk for users worldwide.
Information Technology & Services
Responsibilities
Design, maintain, and optimize credit risk models
Analyze historical loan performance to calibrate risk parameters
Develop tools, alerts, and analytics to test, validate, and monitor risk and user behavior
Collaborate with engineering to implement quantitative models in production
Research and propose model improvements based on emerging data patterns
Qualification
Required
Master's or Ph.D. in a quantitative field such as mathematics, statistics, economics
Strong expertise in credit risk modeling
Track record of developing risk models deployed in production at scale
Strong ability in Python, SQL, and programming for data analysis
Exceptional problem-solving skills and attention to detail
Preferred
Experience with DeFi protocols, especially lending or credit systems
Familiarity with blockchain data indexing and onchain analytics
Experience managing and optimizing a loan portfolio
Company
Divine
1.4 billion people still lack access to credit. Traditional finance has failed them.
H1B Sponsorship
Divine has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase