QA Analyst

Cube
India
HybridCareer-pivot friendly

Who this role is best for

Best suited to candidates with data quality experience working in regulatory compliance and AI-driven SaaS environments.

Best fit for

  • Candidates with experience in data quality and regulatory compliance domains
    — “collaborating with stakeholders to understand data requirements and ensure quality assurance objectives are met”
  • Professionals who thrive in fast-paced, high-performing teams with a focus on innovation
    — “fast-paced, high-performing team that thrives on pushing boundaries”
  • Individuals who are comfortable working in a global, collaborative environment
    — “operate as one team with a shared mission to transform regulatory compliance”

Things to consider

  • The role requires meeting strict QA accuracy targets, which may demand high attention to detail
    — “Consistently achieve QA accuracy targets (95–98%+ or higher)”
  • Candidates must be able to work across multiple data quality and governance teams regularly
    — “Demonstrate strong collaboration across multiple Data Quality teams”

How to stand out

  • Emphasize experience in identifying process improvements and reducing manual validation tasks
    — “Support automation initiatives by identifying repetitive manual validation tasks”
  • Highlight your ability to work with regulatory data standards and compliance frameworks
    — “Become proficient in CUBE's QA processes and regulatory data standards”
  • Showcase your background in analyzing data sets and resolving inconsistencies
    — “Analyze data sets to identify inconsistencies, errors, and anomalies”
  • Demonstrate your track record in improving QA documentation and checklists
    — “Contribute to improving QA documentation and checklists”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • achieve QA accuracy targets
  • identify and recommend process improvements
  • become proficient in QA processes
Typical background
2+ years experience in QA or related field

Skills & requirements

Required

Data AnalysisQuality AssuranceData GovernanceData Quality ControlsCollaboration With Stakeholders

Preferred

AutomationAI

About the role

Original posting from Cube via Ashby

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. 

Why us?

🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally.

🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead.

🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.

🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success.

💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.

Consistently achieve QA accuracy targets (95–98%+ or higher).

Complete assigned QA reviews within agreed SLAs.

Identify recurring quality issues and recommend process improvements.

Become proficient in CUBE's QA processes and regulatory data standards.

Support automation initiatives by identifying repetitive manual validation tasks.

Contribute to improving QA documentation and checklists.

Demonstrate strong collaboration across multiple Data Quality teams.

2 years of experience in collaborating with stakeholders to understand data requirements and ensure quality assurance objectives are met.

Analyze data sets to identify inconsistencies, errors, and anomalies.

Work closely with DQ teams to implement data quality controls, validations, and automated checks.

Collaborate with data governance teams to ensure compliance with data management policies and regulations.

Stay updated with industry trends, emerging technologies, and best practices related to data quality.

Interested?

If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.

CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Source: Cube careers (Ashby)

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