Quality Assurance Analyst (Hybrid)

Citi; Mississauga; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading investment bank seeks a Data Quality Engineer for its Global Markets division. This role entails ensuring data integrity and implementing automated data quality solutions in a fast-paced trading environment. Required qualifications include strong automation skills in Java and Python, proficiency in SQL, and experience working within CI/CD pipelines.

Qualifications

• Minimum 4 years of experience in Quality Assurance.
• Experience embedding data quality tests in DevOps CI/CD pipelines.
• Strong experience in automation for Backend testing and API testing.

Responsibilities

• Develop and implement automated data quality checks for data.
• Monitor and validate data pipelines for trade execution.
• Conduct root cause analysis for data quality issues.

Skills

Automation with Java

Data Validation

Automation with Python

SQL

Analytical Skills

Education

Degree in Computer Science or related field

Tools

AWS

Azure

GCP

Job description

Role Overview:

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.

Key Responsibilities:

• 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.

Key Skills & Qualifications:

• Minimum 4 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.

Preferred Qualifications:

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

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Job Family Group:

Technology

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Job Family:

Technology Quality

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Time Type:

Full time

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