Analyst, Early Career (Full Stack)

What you'll do

• Use SQL and Python to build scalable reporting and support the deployment of machine learning and risk models.
• Analyze data to uncover insights that optimize product, risk, and growth strategies across different geographies.
• Track performance metrics, user behavior, and macroeconomic trends to flag risks and anomalies to senior team members.
• Translate consumer lending regulations and market requirements into foundational data models and operational policies.
• Support cross-functional discussions to ensure new product launches align with operational capabilities and risk appetite.
• Integrate AI tools into daily workflows to accelerate data mining and routine analytical tasks.
• Execute scoped analytical work to turn complex data into actionable signals for business decisions.

What we're looking for

• Currently pursuing a Bachelor’s degree or higher with an expected completion date by August 2027 or earlier.
• Degree in Data Science, Computer Science, Engineering, Economics, Statistics, Math, or a related quantitative field (preferred).
• Working knowledge of SQL, Python, or other scripting languages.
• Familiarity with data mining, data visualization, and foundational statistical modeling.
• Basic understanding or deep curiosity about consumer lending regulations, fair lending principles, and machine learning applications.
• Relevant internships or prior experience in consumer lending, fintech, or financial services (preferred).
• Exceptional communication skills, humility, and the ability to collaborate effectively.
• Ability to integrate AI tools into daily workflows to accelerate data mining and routine tasks.