Citi Group QA Automation Manager - Technical Lead VP C13 

Canada, Ontario 

381980190

This opportunity offers the chance to:

• Engage with cutting-edge trading technology and AI-driven data quality automation
• Drive efforts that willdirectly impact the bank’s ability to manage financial risk and optimize trading strategies
• Lead software quality initiatives that drive regulatory compliance, risk mitigation, and market efficiency
• Help shape the future of data governance in an era of high-frequency trading and real-time analytics
• Join an enterprise organization thatactivelyinvests in digital transformation and technological advancement

Responsibilities

• 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

Qualifications

• 8+ years' experience in QA automation within a global banking or capital markets environment with strong hands-on proficiency in Java, Python, SQL
• Musthave experience working in Agile environments with frequent deployments inno 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

Education

• Bachelor's degree in Computer Science, Software/Computer Engineering related field, or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

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