Portfolio Analytics (Quants) - Senior Associate - Fund Services

This differentiating MSFS service provides customized analytics to meet the complex needs of our clients. The team provides opportunities to lead new ways of thinking and actively contributes to developing new analytical tools through developing new ad-hoc scripts and working with our technology colleagues to build new tools. We value problem-solving, continuous learning, and creative thinking.

Our exceptional talent is passionate about data, eager to innovate, and ready to help shape the future of our analytics. If you want to make meaningful contributions for our clients, the Portfolio Analytics team offers the perfect opportunity to make your mark.

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:

• Focus on periodic as well as bespoke delivery of quantitative analyses related to portfolio exposure, risk, and performance
• Collaborate with the global client coverage team members to assist answering client questions on factor analysis of their portfolios
• Prepare custom client reports that involve risk and performance calculation
• Help in building automation to scale bespoke solutions for the clients using R/VBA or with IT solutions
• Participate in the ideation for the new products critical to the success of pre-trade quant offering and contribute towards building systematic process for generation of content

What you'll bring to the role:

• Master's in quantitative discipline such as Financial Engineering/Mathematics/Statistics/Computing with 2-4 years of relevant experience. Certification such as CFA, CQF or FRM will be an added advantage although not mandatory.
• Familiarity with Equities and Equity derivatives products and familiarity with multi-factor risk models
• Hands-on-experience of R or Python programming, familiarity with LaTeX, Markdown and Shiny
• Analytical mindset and problem-solving ability with a quantitative aptitude
• A team player with strong verbal and written communication skills with attention to details

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Client-provided location(s): Mumbai, India

Job ID: Morgan-3264822

Employment Type: FULL_TIME

Posted: 2025-10-28T18:35:03