Morningstar Logo

Morningstar

Quality Assurance Analyst

Posted 51 Minutes Ago
Be an Early Applicant
Hybrid
Navi Mumbai, Thane, Maharashtra
Junior
Hybrid
Navi Mumbai, Thane, Maharashtra
Junior
Conduct operational quality reviews and audits, analyze trends and root causes, develop QA frameworks and scorecards, create dashboards and reports, leverage data and AI tools for monitoring, support process improvements and regulatory/compliance activities, and collaborate with operational teams to improve client outcomes.
The summary above was generated by AI
Quality Assurance Analyst
Location: Mumbai, India
Working Pattern: Office based with 1-day remote working per week
About This Role
As a Quality Assurance Analyst, you will play an important role in helping Morningstar Wealth deliver high-quality outcomes for our clients and business partners.
You'll join the Wealth Quality Assurance team, which works across operational areas of the business to assess quality, identify opportunities for improvement, and support initiatives that enhance efficiency, reduce risk, and improve client experience.
This role goes beyond traditional quality checking. You'll use data, analytics, and emerging technologies to uncover trends, identify root causes, and provide insights that help teams improve the way they work. You'll work closely with teams that support investment operations, platform administration, onboarding, reporting, and other operational functions that help Morningstar Wealth deliver outstanding outcomes for advisers and investors.
Success in this role requires strong attention to detail, problem-solving skills, and a desire to learn. You'll have the opportunity to contribute to the development of a modern Quality Assurance function that combines quality reviews, process improvement, data analysis, and AI-enabled capabilities, while building valuable skills in operational excellence, analytics, and continuous improvement.
What You'll Do
  • Conduct quality reviews and audits across operational processes to ensure adherence to established standards and procedures.
  • Analyze quality results and identify trends, recurring issues, and opportunities for improvement.
  • Support the development and maintenance of quality assurance frameworks, scorecards, reporting, and controls.
  • Partner with operational teams to understand the root causes of quality issues and help identify practical solutions.
  • Assist in the creation of dashboards, reports, and performance metrics that provide meaningful business insights.
  • Leverage data analysis tools and emerging technologies, including AI, to improve quality monitoring and reporting.
  • Document findings and communicate observations clearly to stakeholders.
  • Participate in continuous improvement initiatives designed to enhance operational efficiency, quality, and client outcomes.
  • Support regulatory and compliance monitoring activities where required.
  • Build knowledge of Morningstar Wealth products, services, and operational processes while developing expertise in quality assurance and process improvement.

Who You Are
  • Analytical and Curious: You enjoy working with data, identifying patterns, and understanding how processes can be improved.
  • Detail-Oriented: You have a strong eye for detail and take pride in producing accurate, high-quality work.
  • A Problem Solver: You enjoy investigating issues, understanding root causes, and contributing to practical solutions.
  • A Strong Communicator: You can clearly communicate findings, insights, and recommendations to a variety of stakeholders.
  • A Collaborative Partner: You enjoy working with others and building positive relationships across teams.
  • Technology-Minded: You are interested in data, automation, AI, and how technology can be used to improve quality and operational efficiency.
  • Growth-Oriented: You are eager to learn new skills, develop professionally, and contribute to the evolution of the Quality Assurance function.

Qualifications & Experience
  • A bachelor's degree in any discipline, with an interest in quality assurance, operations, business analysis, finance, or process improvement.
  • Early in your professional career, typically with 0-3 years of experience in quality assurance, operations, business analysis, reporting, process improvement, or a related field.
  • Strong analytical and problem-solving skills, with a demonstrated ability to identify patterns and draw meaningful conclusions from data.
  • Comfortable working with data and using analytical thinking to investigate issues and support decision-making.
  • Experience with Microsoft Excel and other reporting or data analysis tools is advantageous.
  • Interest in quality assurance, operational excellence, continuous improvement, or business analysis.
  • Exposure to data visualization tools, automation, AI technologies, or quality management practices is a plus, but not required.
  • Morningstar is a 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

Similar Jobs at Morningstar

Yesterday
Hybrid
Junior
Junior
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
The Analyst supports client services by providing data and research for Morningstar Indexes. Responsibilities include responding to client queries, managing index operations, and coordinating with teams.
Top Skills: MS OfficeSQL
13 Hours Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Join the Data Services team as a Software Developer/Data Scientist to deliver custom reports, manage data corrections, and automate processes using Python and AWS.
Top Skills: Aws AthenaAws AuroraExcelPythonSQL
13 Hours Ago
Hybrid
Mid level
Mid level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
The Lead Investment Analyst leads projects, analyzes investment data, manages client relationships, and mentors team members in constructing multi-strategy portfolios for institutional clients.
Top Skills: Morningstar Software

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