Sr Data QA Engineer
2 weeks ago
W2 Requirement
Looking for Sr. Data QA Engineer
Location: New York NY Locals or nearby states
Experience: 8 years
Requirements
- Statistical Expertise: Advanced knowledge of statistical methods including linear/nonlinear modelling hypothesis testing and Bayesian techniques.
- AI/ML Integration: Strong skills in applying AI/ML algorithms (e.g. neural networks random forest anomaly detection) for data quality checks and predictive analysis. Experience with cloudbased environments (AWS Azure etc.).
- Quantitative Finance: Deep understanding of financial instruments market data and the use of quantitative methods in portfolio management and risk analysis.
- Programming Skills: Proficiency in statistical programming languages (Python R SQL) and experience with tools like MATLAB SAS or similar platforms.
- Automation: Experience in developing and implementing automated data validation processes including realtime monitoring and alert systems.
- Data Governance: Strong knowledge of data management principles regulatory compliance and data governance practices particularly in the context of financial services.
- Leadership & Mentorship: Ability to mentor and guide junior team members sharing expertise in statistical analysis AI/ML and data quality best practices.
- ProblemSolving: Excellent analytical skills to identify root causes of data quality issues and implement longterm solutions.
- Collaboration: Strong ability to work with crossfunctional teams including data scientists engineers and financial experts to enhance overall data quality.
If interested share your resume to or reach me at 1(972).
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