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Senior Data Quality Assurance Engineer
Morningstar
posted 29d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Lead the design and implementation of quantitative data quality frameworks, including statistical checks and anomaly detection systems.
- Utilize advanced statistical methods (e.g., linear and non-linear modelling, Bayesian analysis) to evaluate data quality across large, complex datasets.
- Develop and integrate AI/ML models for predictive data quality checks and to improve data accuracy over time. Improvement in data collection
- Ensure compliance with financial regulations and industry standards related to data governance, including managing data privacy and security risks.
- Mentor junior quantitative analysts, promoting best practices in data quality management and statistical analysis.
- Communicate findings, data quality trends, and proposed solutions to senior leadership, ensuring data-driven decision-making.
- Lead the creation and maintenance of automated test scripts to improve test efficiency.
- Ensure continuous integration of automated tests into the CI/CD pipeline.
- Identify gaps in testing coverage and propose solutions.
Requirements
- Statistical Expertise: Advanced knowledge of statistical methods, including linear/non-linear 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 cloud-based 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 real-time 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.
- Problem-Solving: Excellent analytical skills to identify root causes of data quality issues and implement long-term solutions.
- Collaboration: Strong ability to work with cross-functional teams, including data scientists, engineers, and financial experts, to enhance overall data quality.
Employment Type: Full Time, Permanent
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What people at Morningstar are saying
Quality Assurance Engineer salary at Morningstar
reported by
2
employees
with 5-6
years exp.
₹9.6
L/yr - ₹12.3
L/yr
89%
more
than the average Quality Assurance Engineer Salary in India
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What Morningstar employees are saying about work life
based on 1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Morningstar Benefits
Health Insurance 
Education Assistance 
Job Training 
Work From Home 
Soft Skill Training 
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