Ridgeline
Investment Management
SeniorQualityEngineer,PerformanceandAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Quality Engineer, Performance and Analytics at Ridgeline. Skills: Performance analytics, Attribution analysis, Automated testing, Financial data integrity. Validate performance and analytics workflows. Validate portfolio performance”
What You'll Achieve.
Ensure accuracy; Ensure reliability; Ensure client confidence; Drive improvements
Industry & Context.
Analytical thinking; Identify workflow gaps; Identify complex edge cases; Complex problem-solving
No employer sponsorship
What They're Looking For.
Must Have
5+ years Quality Engineering, 5+ years Software Testing, Experience validating complex SaaS applications, Experience validating business-critical workflows, Experience validating applications on cloud native platforms, Experience collaborating with engineering stakeholders, Experience collaborating with product stakeholders, Experience collaborating with business stakeholders, Experience with APIs, Experience with databases, Experience with automated testing frameworks, Work authorized in United States
Nice to Have
Buy-side technology experience, Experience validating ETL pipelines, Experience validating large-scale financial data workflows, Experience with SQL, Experience with analytical databases, Experience testing data-intensive analytics platforms, Experience testing reporting platforms
What You'll Do.
Validate performance and analytics workflows
Validate portfolio performance
Validate reporting experiences
Translate business requirements
Develop test strategies
Execute test strategies
Conduct exploratory testing
Create automated testing solutions
Improve release confidence
Improve quality practices
Improve risk mitigation
Analyze customer-reported issues
Analyze production defects
Drive long-term improvements
How You'll Work.
Team & Collaboration
Partner with product managers; Partner with engineers; Partner with domain experts; Collaborate with engineering teams; Collaborate with stakeholders
Communication Scope
Communicate clearly
Process & Methodology
Software development lifecycle
Full Job Description
The Performance & Analytics team works on calculating, reporting, and effectively presenting performance and attribution metrics across investments leveraging modern OLAP and Columnar technologies. This includes analysis of returns, benchmark comparisons, and the factors contributing to performance. We are in search of a passionate Quality Engineer to play a critical role in validating and evolving our next generation performance & analytics platform, helping ensure accuracy, reliability, and confidence across sophisticated investment management workflows. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change. Our team of engineers are building with cutting-edge technologies like Claude Code and Cursor in a fast-moving, creative work environment. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we’d love to meet you! You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Validate complex performance and analytics workflows across portfolio performance, attribution, benchmark, and reporting experiences Partner closely with product managers, engineers, and domain experts to ensure business requirements are translated into high-quality client experiences Be involved in the entire software development lifecycle, from requirements and design reviews through implementation and production validation Develop and execute thoughtful test strategies focused on workflow accuracy, financial data integrity, and end-user confidence Conduct exploratory testing to uncover edge cases, workflow inco
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