Rachel Stephenson

About Rachel Stephenson

I bring 5+ years of expertise in Salesforce testing, configuration, and troubleshooting with the nCino platform, combined with hands-on experience in Amazon Web Services (RDS, DynamoDB, and S3) to support scalable, data-driven solutions. On the AI front, I contribute to AI-driven credit monitoring innovations, testing conversational agents, predictive intelligence models, and automated workflows designed to transform how financial institutions manage risk and engage with customers!A focus on end-to-end quality assurance drives my approach, covering everything from writing and executing regression suites for monthly deployments to documenting and escalating bugs, identifying gaps in acceptance criteria, and ensuring features meet the needs of diverse end users.I emphasize accuracy and precision in my work and set high standards for myself in everything that I do. I enjoy catching flaws in design and in-depth problem solving through use of logic, striving for quality and perfection. I place high value on knowledge, reasoning, analysis, and am a naturally questioning and thoughtful person.My many personal interests include volunteering outside, travel, film, running, cycling, trivia, French language (and playing pétanque), guitar, vinyl, finance, and film photography.

Experience

1. Quality Assurance Engineer

   nCino, Inc.

   Jun 2022 — Present · Raleigh, NC, US

   Ensure quality across three key Commercial features that help financial institutions optimize lending decisions and profitability. These features work together to provide lenders with comprehensive tools for risk assessment, decision-making, and profitability management throughout the lending lifecycle.1. Credit Monitoring - Automated credit risk management with real-time insights, early warning indicators, and AI-powered account summaries and chat features that help lenders proactively identify credit deterioration and make informed origination decisions.2. Matrix Manager - Decision matrix creation and administration tools within the nCino Bank Operating System for streamlined lending workflows.3. Pricing Engine - On-platform pricing optimization that analyzes relationship and borrower profitability impacts, helping institutions set optimal pricing while meeting target profit margins.Key Contributions:• Regression test features monthly, documenting gaps in acceptance criteria and escalating bugs to ensure stable deployments• Validate AI-powered features, including conversational agents for natural language banking workflows and predictive models that identify early credit risk indicators• Maintain Postman collections for testing REST APIs - develop scripts to automate validation in Collection Runner• Smoke test key APIs across multiple regions while running biweekly AWS deployments• Lead biannual disaster recovery table-top exercises to ensure feature readiness• Collaborate cross-functionally with developers, designers, product owners, and technical writers across U.S. and London-based teamsLeadership & Process Improvements:• Member, Testing Process Committee - Established standards and best practices, promoted automation, and advocated for more frequent releases focused on delivering customer value.• Leader, XRAY Community of Practice - Delivered trainings and best practice documentation for test case management for QA across nCino.

Education

• University of North Carolina Wilmington

  Bachelor of Science - BS, Business Administration: Management Information Systems, Business Analytics