Advanced Analytics (AA&I) and Innovation, Associate, Technical Specialist in Bangalore, भारत

We're seeking someone to join our team as an Associate in advanced Analytics (AA&I) and Innovation team within Internal audit which partners with Auditors through the lifecycle of an Audit to realize efficiencies and expanded coverage.

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 our Technical Specialist function, which is responsible for providing extensive subject matter expertise and reinforcing the ability of business and technology audit teams to appropriately assess risk and determine and execute coverage.

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.

• Collaborate with the Advanced Analytics and Innovation lead and other stakeholders to establish project objectives and define comprehensive requirements, including business rules and data acquisition needs
• Analyze large, complex data sets to identify trends, patterns and produce compelling insights
•  Work in partnership stakeholders to develop and maintain user-friendly dashboards and visualizations
• Develop processes and scripts for the efficient extraction, transformation, and loading (ETL) of data
• Apply advanced analytic techniques to identify trends or provide analytical solutions
•  Identify and execute on opportunities of improving efficiency through use of Generative AI frameworks and tools
• Maintain strong client focus by building strong relationships with Firm-wide stakeholders and identify opportunities to utilize data analytics solutions and tools in Internal Audit

What you'll bring to the role:

• 2+ years of relevant work experience
• The ideal candidate will leverage both traditional analytics techniques and GenAI techniques to analyze and interpret complex data sets, providing actionable insights to drive business decisions
• Ability to translate complex technical data concepts and language into business context
• Ability to learn new technical skills such as new tools or programming languages and apply that to solve business problems
• Curiosity to understand the data and ability to present it in an informative manner
  Strong interpersonal skills to interact confidently within Internal Audit and with internal clients
• Experience with natural language processing and/or exposure to Generative AI frameworks and tools (e.g. GPT, GANs) will be and added advantage

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.

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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.

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