Test Data Management Consultant
Location: Chicago, IL (Hybrid - 3 days onsite a week)
Duration: 12-24+ months Contract
Role Summary
We are seeking a Test Data Management (TDM) Consultant with strong expertise in QA architecture, data analytics, and AI-driven testing solutions. This role will support client's mission-critical platforms by ensuring high-quality, compliant, and scalable test data strategies across clearing, risk, and financial systems.
You will play a key role in enabling testing for complex platforms such as margin calculation engines, trade processing systems, and risk analytics frameworks.
Key Responsibilities
Test Data Strategy for Financial Systems
Design and implement enterprise TDM strategies for derivatives clearing and risk systems
Develop solutions for:
Data masking (PII & sensitive financial data)
Data subsetting for large transactional datasets
Synthetic data generation for rare market scenarios
Ensure compliance with SEC, CFTC, and internal risk governance standards
QA Architecture & Testing Enablement
Build and support data-driven testing frameworks for:
Margin calculations (e.g., STANS)
Trade lifecycle processing
Market stress testing scenarios
Integrate TDM with automation frameworks and CI/CD pipelines
Enable testing across high-volume, low-latency systems
Data Analysis & Financial Modeling Support
Analyze complex datasets related to:
Options pricing
Risk exposure
Clearing and settlement
Identify data gaps impacting test coverage and risk validation
Partner with Quant, Risk, and Data teams to align datasets with real-world market conditions
AI & Advanced Automation
Apply AI/ML techniques to:
Generate synthetic market and trade data
Detect anomalies in risk and pricing datasets
Optimize test coverage using predictive analytics
Explore use of Generative AI for test case and data generation
Cross-Functional Collaboration
Work with QA, Quantitative Analysts, Risk Management, Data Engineering, and DevOps teams
Support integration across data platforms, APIs, and risk engines
Contribute to enterprise initiatives around data governance and modernization
Required Skills & Qualifications
QA Architecture & Engineering
8+ years in QA/Test Engineering, with strong architecture experience
Experience testing financial systems or high-volume transaction platforms
Strong knowledge of automation tools (Selenium, REST Assured, Cypress, etc.)
Test Data Management Expertise
Hands-on experience with TDM tools (e.g., Delphix, Informatica TDM)
Deep expertise in:
Data masking (especially financial/PII data)
Data provisioning and subsetting
Synthetic data generation
Data & Analytics
Strong SQL and data analysis skills
Experience with large-scale data platforms and ETL pipelines
Familiarity with tools such as Talend, Snowflake, or similar
AI / ML Knowledge
Working knowledge of AI/ML concepts applied to QA and data
Experience with AI-driven testing or data generation tools
Understanding of Generative AI applications in testing
Domain Expertise (Highly Preferred)
Experience in capital markets, derivatives, or clearing systems
Familiarity with:
Options lifecycle
Risk and margin models (e.g., STANS)
Understanding of regulatory environments (SEC, CFTC)
Nice to Have
Experience with cloud platforms (AWS, Azure)
Knowledge of data governance frameworks and audit requirements
Exposure to DevOps / CI-CD pipelines
Experience in Agile / SAFe environments
Key Traits:
Strong analytical mindset with attention to detail
Ability to operate in highly regulated, mission-critical environments
Strong collaboration across technical and business teams
Passion for leveraging AI to transform QA and data practices
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