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Sr. QA Analyst

https://www.citi.com/ Logo

Citi

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

As a Data Quality Engineer in the Global Markets division of a leading investment bank, you will ensure the integrity, accuracy, and consistency of data across critical trading, risk, and compliance systems. This role requires a technical mindset with strong hands-on skills in data validation and testing automation. You will work closely with trading technology teams, quants, risk management, and data engineering to implement data quality solutions that ensure high-fidelity financial data for decision-making and regulatory compliance. Your work will directly impact the bank’s ability to execute trades effectively, manage risk efficiently, and comply with financial regulations globally.

Job Responsibility:

  • Develop and implement automated data quality checks for real-time and batch trading data
  • Support initiatives related to User Acceptance Testing (UAT) process and product rollout into production
  • Monitor and validate data pipelines for trade execution, pricing models, risk analytics, and post-trade settlement
  • Work with trading desks, quants, and data engineers to identify and resolve data anomalies
  • Build data profiling, lineage tracking, and metadata management solutions to ensure traceability and compliance
  • Integrate data validation rules into CI/CD pipelines, ensuring continuous data reliability in trading applications
  • Conduct root cause analysis for data quality issues and drive corrective actions
  • Ensure compliance with global financial regulations
  • Collaborate with DevOps and Cloud teams to optimize data quality solutions in cloud-based environments (AWS, Azure, GCP)
  • Leverage AI/ML-based anomaly detection models to proactively detect data inconsistencies

Requirements:

  • Minimum 5 years of experience in Quality Assurance
  • Strong experience in automation using Java for Backend testing, API testing
  • Hands-on experience in automation/tooling using Python
  • Proficiency in SQL for data validation and querying large datasets
  • Strong analytical and troubleshooting skills for debugging data quality issues
  • Ability to work in a fast-paced trading environment with cross-functional and global teams
  • Experience embedding data quality tests in DevOps CI/CD pipelines
  • Experience working in AWS, Azure, or GCP data services is a plus

Nice to have:

Bachelors Degree in Computer Science, Software/Computer Engineering, or a related field

Additional Information:

Job Posted:
May 01, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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