Senior Quality Engineer, Performance and Analytics

About the role

You are the guardian of correctness for investment analytics. You shape intake, construction, and rollout to ensure rigorous validation across performance measurement and attribution systems. Your work sustains client trust and continuously challenges assumptions within demanding finance contexts. You thrive in a fast-moving, creative environment where AI and modern development practices drive transformative change. You own the full quality lifecycle for analytics features from requirements to production monitoring. You act as a quality advocate and technical partner to data and product teams on critical finance initiatives. You translate complex performance concepts into clear testing strategies and documentation. You mentor engineers on quality standards that strengthen the integrity of financial reporting.

Key facts

What you'll do

Guide intake sessions to confirm requirements and prevent downstream defects in analytics.

Construct testing frameworks that verify calculations for returns, benchmarks, and factor attribution.

Review designs and data schemas to catch logic flaws before production exposure.

Ship validation suites that increase confidence in reporting dashboards and client views.

Partner with data and product teams to align tests with evolving business rules.

Automate checks for performance metrics so repeated runs remain consistent and fast.

Explore interfaces and edge paths to expose hidden risks in integrated financial pipelines.

Champion quality practices that make problems visible early across the engineering group.

Analyze incidents from customers and production to drive durable process corrections.

Own experimentation guardrails that ensure measurement accuracy and data integrity.

Define test coverage objectives for analytics features and track quality metrics over time.

Collaborate on test data strategies to simulate realistic market conditions safely.

Support release decision gates by evaluating quality signals and risk areas.

Document testing approaches and findings to create institutional knowledge for the team.

Requirements

You must hold work authorization in the United States with no sponsorship requirement.

You need five or more years validating complex software in quality engineering roles.

You understand performance analytics methods including TWR, Brinson attribution, and benchmarks.

You have experience safeguarding business-critical flows where accuracy and transparency matter.

You are familiar with APIs, databases, and common automated testing frameworks.

You have validated applications on cloud platforms such as AWS, Azure, or Google Cloud.

You think analytically to uncover workflow gaps and unusual edge cases.

You collaborate closely with engineering, product, and business stakeholders across the lifecycle.

You are keen to learn new technologies while building expertise in investment management problems.

You value automated testing at unit, integration, and end-to-end levels.

You balance short-term delivery with a long-term view of system quality.

You have hands-on experience with GitHub Copilot, Claude Code, Cursor, or ChatGPT.

You solve complex problems and communicate clearly with colleagues at every level.

You write precise test cases and bug reports that others can act on without ambiguity.

You use command line tools and scripts to investigate data and validate results quickly.

You maintain a structured approach to tracking defects and quality metrics.

You respect confidentiality when handling sensitive financial and client information.

You are comfortable working asynchronously across distributed teams and time zones.

You bring intellectual curiosity and a methodical mindset to demanding analytical problems.

Nice to have

Experience in buy-side technology environments.

Background validating ETL pipelines or large-scale financial data workflows.

Experience with SQL and analytical databases such as Snowflake or BigQuery.

Experience with performance and attribution analysis in investment management systems.

Familiarity with version control workflows and code review practices for quality code.

Experience building dashboards or visualizations to communicate quality metrics.

Knowledge of containerization and orchestration tools used in modern deployments.

Understanding of regulatory and compliance considerations in financial data handling.

About the company

Long narrow elevated forms define our work, with steep sides falling from a narrow crest. Height above surroundings ranges minimally to great spans. Origins vary, formed by deposit, erosion, or tectonics, using bedrock, sediment, lava, or ice. Ridges stand alone or link within larger systems. Smaller elements often branch from these features. Understanding these variables guides our approach. Site conditions, structure, and material shape each project. Clients gain precise mapping and clear analysis. Current needs drive solutions that respect natural layout and scale, supporting decisions with clear, factual terrain interpretation.

Work authorization and location details are confirmed in the official apply page. This role is based in New York, NY; Reno, NV; San Ramon, CA with full-time engagement. The compensation details reflect base salary and total compensation as stated in the source. Multiple application reminders direct candidates to verify current details and submit through official channels. The listing encourages interested candidates to apply directly on the Ridgeline careers site to ensure they receive the most accurate and updated information.