Risk & Analytics Intern

Monitor key funnel and loan performance metrics, reports, and dashboards

Evaluate product performance and identify root causes of metric changes

Establish funnel and loan performance metrics

Develop automated reporting and alerting using SQL and Python

Conduct advanced data analytics to evaluate trends and recommend optimization strategies

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 experiment impact and provide recommendations

Requirements

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

Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship

Candidates must be local to Chicago or able to relocate independently; relocation assistance is not provided

Experience with BI tools is an additional plus

Pursuing an advanced degree in a quantitative discipline is an additional plus

Core Competencies

Demonstrates expertise in data analysis and performance evaluation using SQL and Python, with a strong focus on quantitative problem-solving and attention to detail. Capable of collaborating with cross-functional teams to optimize funnel and underwriting strategies through advanced analytics and reporting.

Highest-signal resume keywords

SQL

Python

Data Analysis

Quantitative Skills

BI Tools

ATS Optimization Keywords

Hard Skills

Data Analytics

Relational Databases

Automated Reporting

A/B Testing

Performance Metrics

Soft Skills

Problem-Solving

Attention to Detail

Industry Keywords

Funnel Performance

Loan Performance

Impact Analysis

Optimization Strategies

Cross-Functional Collaboration

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