Intermediate Quality Analyst, Citi

Citi

Location:
Canada, Mississauga

Category:
IT - Software Development

Contract Type:
Not provided

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 2 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 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:

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

Additional Information:

Job Posted:
April 24, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Intermediate Quality Analyst