Morningstar Logo

Morningstar

Senior Data Quality Assurance Engineer

Posted 23 Days Ago
Be an Early Applicant
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
*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.
*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.
Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days 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

Similar Jobs at Morningstar

Yesterday
Hybrid
Navi Mumbai, Thane, Maharashtra, IND
Senior level
Senior level
Enterprise Web • Fintech • Financial Services
The Senior Data Analyst will collect and manage investment data, resolve data issues, participate in projects, and enhance data quality processes, while mentoring others.
Top Skills: Machine LearningMS OfficePythonSQL
Yesterday
Hybrid
Navi Mumbai, Thane, Maharashtra, IND
Mid level
Mid level
Enterprise Web • Fintech • Financial Services
As a CMBS Senior Analyst, you will analyze credit risk, set up net cash flow models, assist with underwriting loans, and maintain databases.
Top Skills: CbreIntexExcelMssqlReisTreppVisual Basic For Applications
Yesterday
Hybrid
Navi Mumbai, Thane, Maharashtra, IND
Mid level
Mid level
Enterprise Web • Fintech • Financial Services
The Senior Data Research Analyst collects and manages investment data, ensuring accuracy and efficiency, while optimizing data processes and analyzing performance KPIs.
Top Skills: Machine LearningMS OfficePythonSQL

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account