Take the lead in initiatives to improve our underwriting & pricing strategies
Have the opportunity to use AI driven tools for data analysis
Optimize current acquisition strategies in response to customer behavior and changing marketplace conditions
Develop actionable financial strategies based on financial data-driven insights to improve credit risk and profitability while driving step changes in the company’s growth trajectory
Seed tests in market to better understand customer behavior and leverage learnings to invest in future growth
Collaborate with cross functional teams across product, data science, engineering and capital markets to bring strategies to market
Articulate and communicate strategies to senior leadership
Requirements
Proven ability to problem solve end-to-end: from framing the question and forming a hypothesis, to analyzing the data, to communicating and debating the answer with other stakeholders
Familiarity with SQL, python, or other tools for data analysis
2
5 years of experience in a highly analytical role
Bachelor’s or Masters in Economics, Finance, Engineering, Mathematics, or similar quantitative field with record of strong academic performance
Experience doing analytical work with credit cards or other consumer lending products
Experience helping scale a business in a fast-paced startup environment
Expertise in SQL or Python
Experience using AI coding assistants (Claude Code, Codex, Gemini CLI, Cursor, etc.)
Tech Stack
Python
SQL
Benefits
An engaging culture with access to training programs and advancement opportunities
Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
Generous PTO, flexible schedules, a Calm App subscription, and more.