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Morningstar

Senior Data Quality Assurance Engineer

Reposted 13 Days Ago
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Hybrid
Navi Mumbai, Thane, Maharashtra
Senior level
Hybrid
Navi Mumbai, Thane, Maharashtra
Senior level
Lead data quality assurance efforts by applying statistical expertise, AI/ML algorithms, and automation techniques to enhance data integrity and support financial analysis. Collaborate with cross-functional teams while mentoring junior members.
The summary above was generated by AI
Requirement:
  • Programming Skills: Intermediate proficiency in programming languages - Python and SQL.
  • Statistical Expertise: Basic knowledge of statistical methods lie variance, standard deviation, hypothesis testing and regerssion.
  • Cloud Technology: Strong skills in Experience with cloud-based environments (AWS).
  • Quantitative Finance: Understanding of financial instruments, market data, and the use of quantitative methods in portfolio management and risk analysis.
  • Automation: Experience in developing and implementing automated data validation processes, including real-time monitoring and alert systems.

Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Top Skills

AWS
Azure
Matlab
Python
R
SAS
SQL

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