QA Analyst with Automation (Financial Data Analytics)

Job Title: QA Analyst with Automation (Financial Data Analytics)
Location: Remote (European Time Zone)
Contract Type: B2B

About Us:
ETFBOOK is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, the we aim to make global ETF data accessible, actionable, and valuable for institutional participants, including ETF issuers, index providers, fund service providers, market makers, exchanges, and buy-side institutions.
We develop a platform which offers comprehensive insights through a user-friendly web application and robust APIs, covering areas such as product analysis, fund flow tracking, performance comparisons, and liquidity assessments.

About the role:
We are looking for an experienced Automation QA Engineer with a strong background in the financial data domain to join our team. In this role, you will be responsible for performing manual testing and developing automated test scripts to ensure the accuracy, functionality, and performance of our financial market data product.

Key Responsibilities:

• Detect, document, standardize, and monitor issues and defects
• Develop and maintain automation scripts for repetitive scenarios, identifying corner cases
• Analyze system requirements and create test plans, test cases, and test scripts based on those specifications
• Execute and monitor both manual and automated test cases, documenting results and tracking defects in test management tools
• Perform root cause analysis of issues and collaborate with development teams to resolve them
• Review and maintain technical documentation to ensure alignment with product functionality
• Conduct manual functional, regression, and user acceptance testing

Required Qualifications:

• Strong knowledge of Playwright, Cypress, or similar JS testing framework
• Familiarity with test management tools (e.g., Jira, Azure DevOps) and defect tracking systems
• Strong knowledge of core testing processes
• Excellent written and verbal communication skills
• Knowledge of testing for data application, ability to write tests against data (Python, SQL, C#)
• Proven experience in manual QA testing, preferably focused on financial data analytics applications

Preferred Skills:

• Knowledge of financial markets and instruments
• Familiarity with SQL, Postgres and the ability to query databases to validate data

What we offer:

• 100% remote work from anywhere within the European time zone.
• Competitive B2B contract.
• Exciting growth opportunities in a fast-paced startup.
• Closely hand-in-hand collaboration with CEO.
• Impactful work: help revolutionise ETF data market, currently fastest growing area of finance.
• Have a real impact of developing products: your work will directly influence live projects, delivering measurable results in real-world applications.
• Culture of innovation: collaborate with forward-thinking professionals in technology and finance where experimentation and creativity are encouraged.
• Team- buildings events at least twice a year, hosted in various European locations.