EDGE

QA Engineer

• Work as part of the development team and influence the design of systems and features as it relates to quality and correctness
• Manually test developers features and fixes: Frontend changes, Backend changes, Customer API changes
• Create automated regression and integration tests
• Influence how features and platform changes are designed and implemented by understanding projects from a business perspective and how the platform works
• Conduct post release checks like other members of the development team

Data Scientist

• Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
• Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
• Establish key performance metrics and develop automated reporting dashboards using SQL and Python
• Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations

Data Science Intern

Technical Account Manager

• Lead onboarding and configuration of Edge's analytics platform for new customers, ensuring alignment with lending and underwriting workflows
• Interpret complex financial datasets (income, balances, transaction data) and deliver actionable insights to credit, risk, and compliance stakeholders
• Translate technical data concepts into plain language for executives and frontline lending teams
• Conduct configuration testing, troubleshoot integration issues, and optimize workflows
• Collaborate with Product, Data Science, and Engineering to identify and escalate bugs, edge cases, and enhancement opportunities
• Create customer-facing guides, onboarding documentation, and best practices
• Partner with Sales and Customer Success to support pilots, expansions, and strategic accounts

QA Engineer

Data Science Intern

Technical Account Manager, Analytics