Quality Assurance Engineer - Manual & Automation(Hybrid)

Citi; Mississauga; On-site; CAD 70,000 - 110,000; Full time

Job summary

Ein führendes Investmentbanking-Unternehmen sucht einen Data Quality Engineer, der für die Integrität und Genauigkeit von Daten verantwortlich ist. In dieser Rolle arbeiten Sie eng mit verschiedenen Teams zusammen, um automatisierte Datenqualitätsprüfungen zu entwickeln und sicherzustellen, dass die Finanzdaten für Entscheidungen und regulatorische Anforderungen von höchster Qualität sind. Ihre technische Expertise wird dazu beitragen, Handelsabläufe zu optimieren und Risiken effizient zu managen. Wenn Sie eine Leidenschaft für Datenqualität und ein dynamisches Arbeitsumfeld haben, ist dies die perfekte Gelegenheit für Sie.

Qualifications

• Mindestens 4 Jahre Erfahrung in der Qualitätssicherung.
• Starke Erfahrung in der Automatisierung mit Java für Backend- und API-Tests.

Responsibilities

• Entwickeln und Implementieren automatisierter Datenqualitätsprüfungen für Handelsdaten.
• Überwachen und Validieren von Datenpipelines für Handelsausführung und Risikoanalysen.

Skills

Qualitätskontrolle

Automatisierung mit Java

API-Tests

Python Automatisierung

SQL

Analytische Fähigkeiten

DevOps CI/CD

Cloud-Dienste (AWS, Azure, GCP)

Education

Bachelor-Abschluss in Informatik

Bachelor-Abschluss in Software-/Computertechnik

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:

• Bachelors 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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