Parafin is on a mission to grow small businesses by providing them with access to financial tools through the platforms they already use. The company aims to simplify access to funding, spend management, and savings tools for small businesses, addressing the limitations of traditional banking.
Requirements
- Approach data analysis with a critical, intellectually honest eye
- Design concise metrics that guide decision making
- Employ robust experimental design and causal inference methods
- Develop valid and predictive machine learning models
- Write legible, reliable, and tested code
- Build or source tools to boost the team’s efficiency
- Architect technical systems that are highly scalable, reliable, and observable
Responsibilities
- Design, train, and deploy production underwriting models
- Design experiments and metrics to drive risk and pricing decisions
- Partner with engineering and product teams to architect automated underwriting systems
- Identify business opportunities to improve growth and profitability via improvements to our underwriting posture
- Training a quantile regression model to forecast the distribution of SMB revenues and precisely size our financing offers
- Using LLMs to help build a risk model and forecast that lets us underwrite merchants on banking transaction data
- Building a simulation platform to model and evaluate conversion and risk exposure across varied configurations for our financing offers
Other
- Identify and effectively prioritize business problems
- Solve business problems using appropriate data science techniques
- Anticipate the impact of your work on our financial performance, customers, and compliance obligations
- Model Parafin’s values of efficiency, intellectual honesty, accountability, and empathy
- Build trusted relationships with stakeholders
