Data Scientist, Underwriting
Develops and deploys production machine learning models for underwriting small business loans, focusing on risk assessment, pricing optimization, and automated systems. Requires strong statistical reasoning, ML expertise, engineering skills, and business acumen.
About the job
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.
- Own the full data-science lifecycle, from research to deployment, to power our underwriting engine.
Requirements
Statistical Reasoning
- 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.
Business Acumen
- 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.
Engineering Mindset
- 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.
Leadership and Collaboration
- Model Parafin’s values of efficiency, intellectual honesty, accountability, and empathy.
- Build trusted relationships with stakeholders.
- Document work, seek feedback, and share learnings proactively.
Focused Execution
- Prioritize high-impact use of your time.
- Scope projects rigorously.
- Act with urgency.
Compensation
- Salary: $190k-$230k + equity (standard level).
- Senior level: $240k-$300k + equity.
- Medical, dental & vision insurance.
- Work from home flexibility.
- Unlimited PTO.
- Commuter benefits.
- Free lunches.
- Paid parental leave.
- 401(k).
- Employee assistance program.
Skills
Machine Learning, Quantile Regression, LLMs, Causal Inference, Python, Risk Modeling, Pricing Optimization, Experimental Design, Statistical Modeling, Scalable Systems
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