Risk & Analytics Intern

United States·Chicagoentry

AnalyticsData & AI

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Quick Summary

Key Responsibilities

Monitor key funnel and loan performance metrics, reports,

Technical Tools

AnalyticsData & AI

Founded in 2017, NinjaHoldings works to give everyday Americans better access to financial services than traditional institutions typically provide. Through our CreditNinja and NinjaCard brands, we offer digital banking and lending products designed for consumers often overlooked, paired with incentives that support long-term financial improvement. Our Edge brand extends this expertise to other companies, providing underwriting, fraud detection, and analytics services. Headquartered in Chicago with a distributed global workforce, we are a lean, growing organization committed to advancing consumer finance in the US.

NinjaHoldings is seeking a self-motivated, intellectually curious Risk & Analytics Intern who is interested in the opportunity to grow and learn as part of a dynamic team at the heart of NinjaHoldings’ strategic decision-making. Our internship program offers an opportunity to work on real projects that move the business forward while receiving hands-on professional development.

When: May-August 2027

Location: Hybrid, downtown Chicago HQ (in-office 2x/week). Candidates must be local or able to relocate independently - relocation assistance is not provided.

Schedule: 40 hours/week

Responsibilities

~1 min read

→Monitor key funnel and loan performance metrics, reports, and dashboards to evaluate the performance of our products and understand the root causes of changes
→Establish funnel and loan performance metrics and develop automated reporting and alerting using SQL and Python
→Conduct analysis using advanced data analytics to evaluate trends in funnel and loan performance and provide optimization strategy recommendations to improve metrics
→Collaborate with cross-functional teams to implement funnel or underwriting strategy changes, monitor releases, and perform impact analysis
→Analyze A/B testing data for funnel or underwriting optimization experiments, evaluate impact and provide recommendations

Current junior or incoming senior majoring in Mathematics, Statistics, Computer Science, Engineering or a related field
Experience with relational databases and SQL
Data analysis experience with Python
Strong quantitative and problem-solving skills with key attention to detail

Nice to Have

~1 min read

Pursuing advanced degree in quantitative discipline (e.g., math, statistics, analytics, quantitative, finance, engineering or other quantitative fields
Experience with BI tools