QA Automation Manager - Technical Lead, Citi

QA Automation Manager - Technical Lead

Citi

Location:

Canada, Mississauga

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

The QA Automation Manager - Technical Lead in Citi's Financial Markets Division will ensure the accuracy, consistency, and reliability of data across trading, risk management, regulatory reporting, and financial analytics systems worldwide.

Job Responsibility:

Set up Test plans, Test Strategy and Estimations for Quality Engineering projects
Lead the team of SDETS to act as the quality gate before software products are delivered to our end users
Develop and enforce global data quality frameworks for front-office, middle-office, and back-office systems supporting multi-asset class trading
Evaluate the quality of automation code generated and give constant feedback to SDETs
Identify and highlight ways to continuously optimize the way in which QA function operates to create an efficient, scalable team
Collaborate closely with global BA, DEV & QA Teams for efficient test planning, test design and co-ordinate test efforts between Global Teams
Ensure data integrity across global trading platforms, pricing models, risk engines, and regulatory compliance systems
Implement automated data validation for real-time market data, trade transactions, and post-trade analytics
Collaborate with trading desks, quants, risk, and compliance teams across different time zones to resolve data anomalies
Work closely with data engineering and DevOps teams to embed data quality checks in CI/CD pipelines for front-office trading applications
Define and monitor key data quality metrics (accuracy, completeness, consistency, timeliness) across global financial systems
Meet the stringent requirements of regulatory bodies across different markets
Establish data lineage, metadata management, and governance frameworks for high-quality regulatory reporting
Ensure compliance with global and regional regulatory frameworks
Lead initiatives on AI/ML-based data anomaly detection, improving real-time insights for market risk and pricing data
Provide thought leadership in data observability, automated testing, and cloud-based data quality solutions

Requirements:

8+ years' experience in QA automation within a global banking or capital markets environment with strong hands-on proficiency in Java, Python, SQL
Must have experience working in Agile environments with frequent deployments in no longer than 2 week sprints
Strong understanding of global markets trading infrastructure, including order management systems (OMS), execution management systems (EMS), market data feeds, and post-trade settlement systems
Knowledge of financial risk modeling, P&L attribution, VaR calculations, and liquidity risk metrics
Experience in AI/ML-driven anomaly detection for trading and risk
Experience embedding quality checks into DevOps CI/CD pipelines
Cloud experience working in AWS, Azure, or GCP data services
Knowledge of multi-asset classes: equities, fixed income, FX, commodities, derivatives, structured products
Ability to manage global stakeholders, including traders, quants, risk managers, and compliance teams across multiple regions
Strong problem-solving and decision-making skills in a fast-paced trading environment
Strong domain expertise in capital markets, trading systems, risk analytics, and global regulatory compliance is a plus

Additional Information:

Job Posted:

March 22, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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