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Morgan Stanley

Portfolio Analytics – Quantitative Analytics, Senior Associate, ISG Operations

Posted 9 Hours Ago
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
Support portfolio performance, exposure, and risk attribution for hedge fund clients using multi-factor models. Produce customized reports, respond to client queries, automate bespoke analytics (R/Python/VBA), and help develop systematic quantitative products and pre-trade analytics.
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Portfolio Analytics – Quantitative Analytics, Senior Associate, ISG Operations

We are seeking a Senior Associate to join our Portfolio Analytics team, supporting performance, exposure, and risk attribution analysis for hedge fund portfolios using multi‑factor models. The role also contributes to the development and testing of systematic quantitative solutions across the firm’s hedge fund platform.

Established in 2004, Morgan Stanley Fund Services (MSFS) is a global business within the Institutional Equities Division (IED) that provides fund administration services for over $700billion in assets across 350+ hedge funds, private equity and large family offices clients.  Our best-in-class offering includes accounting and investors services, portfolio analytics, middle-office functions, regulatory and financial reporting, and tax services.  Delivering these services to our clients and their investors is a diverse team of 1,400 highly skilled employees across the globe based in New York, London, Glasgow, Dublin, Mumbai, Bengaluru, and Hong Kong. Joining MSFS, you will discover a dynamic environment where every day offers new opportunities for personal growth and innovation.  Here at MSFS your career isn’t just a job, it’s an incredible journey fueled by collaboration, challenge, and the chance to make a meaningful impact to our business, our clients, their investors and the wider Morgan Stanley franchise.

About the Portfolio Analytics Team

The MSFS Portfolio Analytics team is an energetic, globally connected group driving innovation in portfolio analytics for our clients. As part of the team, you will collaborate with colleagues and our clients to deliver impactful risk and performance reports, ensuring clients have the insights they need to succeed.

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

  • Deliver periodic and bespoke quantitative analysis related to portfolio exposure, risk, and performance

  • Support client engagement by partnering with global coverage teams to address client queries on factor and attribution analysis

  • Produce customized client reports involving risk and performance calculations

  • Contribute to automation and scalability of bespoke analytics using R, VBA, Python, or technology‑enabled solutions

  • Participate in ideation and development of new quantitative products, including systematic processes supporting pre‑trade analytics and content generation

What You’ll Bring

  • Master’s degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, or Computing, with 2–4 years of relevant experience

  • Professional certifications (CFA, CQF, FRM) are an advantage

  • Strong understanding of equities and equity derivatives, with familiarity in multi‑factor risk models

  • Hands‑on programming experience in R or Python; familiarity with LaTeX, Markdown, and Shiny is preferred

  • Strong analytical and problem‑solving skills with a quantitative mindset

  • Effective verbal and written communication skills, strong attention to detail, and the ability to work collaboratively in a global team environment

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.

Morgan Stanley Mumbai, Maharashtra, IND Office

WeWork, Level 22 & 23, Oberoi Garden City Off W.E. Highway, Goregaon (E), Mumbai, India, 400 063

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