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, wed 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 inconsistencies, and business logic gaps across integrated financial systems
- Participate in the creation and construction of automated testing solutions that improve scalability, reliability, and release confidence
- Collaborate with engineering teams to improve quality practices, testability, and risk mitigation throughout the development lifecycle
- Analyze customer-reported issues and production defects to identify root causes and drive long-term improvements
- Think creatively, own problems, seek solutions, and communicate clearly along the way
- Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency
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
- Ability 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
- Ability 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 >Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.
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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.
As an employee at Ridgeline, youll have many opportunities for advancement in your career and can make a true impact on the product.
In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.
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