Quality Assurance & Improvement, Associate, Internal Operations & Quality Control

We are seeking an individual with dynamic personality to join our Quality Assurance & Improvement (QA&I) team in Mumbai. The ideal candidate will bring a strong foundation in internal audit and quality assurance, combined with hands-on experience in Data Analytics (DA) projects involving Power BI, Generative AI (Gen AI), or AI technologies. This role offers the opportunity to contribute to audit innovation and drive continuous improvement across assurance activities.

In the Audit division, we provide senior management an objective and independent assessment of the Firm's internal control environment for risk management and governance. This is an Associate level position within Internal Operations and Quality Control, which is responsible for efficient and effective functioning of the department, supporting the ultimate delivery of high-quality assurance services

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:
- Support reviews of audit engagements to assess conformance with internal methodology, IIA Standards, and regulatory expectations
- Lead or support DA/AI initiatives such as
- Developing and maintaining Power BI dashboards
- Implementing Gen AI solutions for department wide and team specific projects
- Applying AI-driven analytics to identify trends, root causes, and thematic issues across audit deliverables
- Collaborate with QA&I leads, and Audit Practices Group to ensure consistent application of feedback and methodology
- Support closure verification (CV) review processes
- Contribute to the development and delivery of training programs and audit quality metrics

What you'll bring to the role:
- Bachelor's degree in Accounting, Finance, Data Science, or related field
- Professional certifications such as CIA, CISA, or data analytics credentials
- 2-5 years of experience in internal audit, quality assurance, or data analytics
- Demonstrated experience in at least one of the following
- Designing and deploying Power BI dashboards for audit or assurance reporting
- Leading or contributing to Gen AI or AI projects in a professional setting
- Strong understanding of audit fundamentals, risk assessment methodologies, and regulatory frameworks
- Experience with audit workflow tool
- Proficiency in Excel, Power BI, and familiarity with AI tools or platforms (e.g., OpenAI, GPT-based systems)

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.