Senior Quality Engineer, Performance and Analytics
The Performance & Analytics Team
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.
About the Role
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.
What We Look For
- 5+ years in a Quality Engineering, Software Testing, or related position validating complex SaaS applications
- Deep understanding of performance analytics methodologies and practical experience validating TWR, Brinson Attribution, benchmark analysis, and Profit & Loss calculations within investment management platforms
- Experience validating and triaging business-critical workflows where accuracy, transparency, and data integrity are essential
- Familiarity working with APIs, databases, and automated testing frameworks
- Experience validating applications built on cloud native platforms such as AWS, Azure, or Google Cloud
- Strong analytical thinking with an aptitude for identifying workflow gaps and complex edge cases
- Experience collaborating closely with engineering, product, and business stakeholders throughout the software development lifecycle
- Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space
- Understand the value of automated tests at all levels
- Able to focus on short-term deliverables while maintaining a big-picture long term perspective
- Experience with GitHub Copilot, Claude Code, Cursor, or ChatGPT
- An aptitude for complex problem-solving
- Able to communicate with colleagues at all levels
- Serious interest in having fun at work
Bonus
- Buy-side technology experience
- Experience validating ETL pipelines or large-scale financial data workflows
- Experience with SQL and analytical databases such as OLAP or Columnar systems
- Experience testing highly data-intensive analytics or reporting platforms
About Ridgeline
Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, the Bay Area, Dublin Ireland. Ridgeline is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”
Ridgeline is Proud to be a Community-minded, Discrimination-free Equal Opportunity Workplace
Compensation and Benefits
[For New York and California Based Only]
The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.
The typical starting salary range for this role is: $113,500-$141,500.
The typical starting salary range for this role in the select locations listed above is: $124,500-$156,000.
Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.
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