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), providing fund administration services for over $700 billion in assets across 350+ hedge funds, private equity, and large family office clients . Our best‑in‑class offering spans accounting and investor services, portfolio analytics, middle‑office functions, regulatory and financial reporting, and tax services.
MSFS operates with a global team of 1,400+ professionals across New York, London, Glasgow, Dublin, Mumbai, Bengaluru, and Hong Kong. Joining MSFS offers a dynamic, collaborative environment with opportunities for continuous learning, innovation, and meaningful impact for our clients and the broader Morgan Stanley franchise.
About the Portfolio Analytics Team
The MSFS Portfolio Analytics team is a globally connected, client‑servicing group delivering advanced risk and performance insights to hedge fund clients. The team partners closely with clients and internal stakeholders to produce high‑quality analytics and bespoke reporting.
This differentiated MSFS service focuses on customized analytics to meet complex client requirements. Team members actively contribute to the development of new analytical capabilities through ad‑hoc scripting, automation initiatives, and collaboration with technology partners. We value problem‑solving, intellectual curiosity, and continuous improvement .
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