Risk & Analytics Intern

Jobtailor; Chicago (IL); On-site; USD 18,000 - 28,000; Part time

Job summary

Jobtailor is seeking a junior data analytics-inclined candidate for an on-site Chicago role focused on funnel and loan performance analytics. You will monitor KPI dashboards, run analyses, and collaborate with product and underwriting teams to optimize strategies using SQL and Python.

The role emphasizes quantitative problem solving, attention to detail, and the ability to translate data insights into actionable optimization plans. Chicago relocation is supported by the company in some cases.

Qualifications

• Current junior or incoming senior majoring in Mathematics, Statistics, Computer Science, Engineering or related field.
• Experience with relational databases and SQL
• Data analysis experience with Python
• Strong quantitative and problem-solving skills with attention to detail
• Applicants must be legally authorized to work in the U.S. without visa sponsorship
• Candidates must be local to Chicago or relocate independently; relocation assistance not provided
• Experience with BI tools is an additional plus
• Pursuing an advanced degree in a quantitative discipline is an additional plus

Responsibilities

• Monitor 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

Skills

SQL

Python

Data Analysis

Quantitative Skills

BI Tools

Education

Pursuing advanced quantitative degree

Tools

Relational Databases

Job description

• 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