Sr Data QA Engineer - W2 Only
Sr Data QA Engineer - W2 Only
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1 Vacancy
Job Description
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).
Employment Type
Full Time
