Senior Applied Scientist, Credit Risk
Posted
$10,000 USD
Tech Stack
Responsibilities
- Design, build, and optimize machine learning models for credit risk decisioning and portfolio management.
- Own the full applied science development lifecycle from data exploration to model deployment, monitoring, and iteration.
- Investigate and integrate new data sources, including structured and unstructured data, into credit models.
- Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact.
- Partner with product, business, engineering, and data stakeholders to translate problems into a practical applied science roadmap.
Benefits
- 401k
- Equity
- Gym Membership
- Health Insurance
- Parental Leave
Culture
Fast-PacedStartup Energy
Requirements
Required: Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Preferred: PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Regions: Canada, Uk, Us
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About Ramp
Industry: fintech
Size: enterprise
Ramp is building smart infrastructure for finance teams, automating over $200B in annualized spend for 70,000+ companies by authorizing payments, flagging risk, categorizing spend, and closing books. They focus on high-stakes, data-dense problems, aiming to help businesses save 5% and grow revenue by 16% in their first year.
View company profile →Compensation
Base salary: $10,000 USD