Analyst, Early Career (Full Stack)

What you'll do

• Analyze business performance and user behavior to identify opportunities and support product, risk, and growth strategies.
• Track portfolio metrics and trends, and write SQL and Python for reporting and support of machine-learning and risk-model deployment.
• Collaborate with cross-functional teams on regulations, operational policies, and product launches; use AI tools to accelerate routine work and verify outputs.

What they ask for

• Currently pursuing a Bachelor’s degree or higher and expected to complete the most recent full-time degree program by August 2027 or earlier.
• Working knowledge of SQL, Python, or other scripting languages.
• Familiarity with data mining, data visualization, and foundational statistical modeling.
• Strong communication and collaboration skills; basic understanding or curiosity about consumer lending regulations, fair lending, and machine learning.

Nice to have

• Degree in Data Science, Computer Science, Engineering, Economics, Statistics, Math, or a related quantitative field.
• Relevant internships or prior experience in consumer lending, fintech, or financial services.

Pay

$115,000 USD base pay per year (USA, CA or NY)

Tools

SQL, Python, Cursor, Claude Code

AI focus

Integrate AI tools such as Cursor, Claude Code, and copilots into daily workflows to speed up data mining and routine tasks, while verifying their outputs.