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

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

Data Scientist, Underwriting

Key skills