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Morgan Stanley logo — Morgan Stanley MSET QR Client Analytics Role, Manager, Institutional Equity Division at Morgan Stanley
Morgan Stanley

MSET QR Client Analytics Role, Manager, Institutional Equity Division

Job · Full-timeIn OfficeMumbai3-5 years1 opening

About this role

Morgan Stanley is hiring for MSET QR Client Analytics Role, Manager, Institutional Equity Division in Mumbai. This opening was published by Morgan Stanley on their official careers board (Workday) on 1 September 2026 and was confirmed live on 14 September 2026. Job details • Company: Morgan…

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Skills you'll use

PythonMachine LearningLinuxCommunicationData AnalysisStatistics

What you'll do

  • This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research teams.
  • The expected working hours will be Asia hours.
  • The key elements of the role are –
  • Execution Consulting. Applying knowledge of algorithmic trading engines to reduce execution slippage
  • Perform bespoke, in-depth client Transaction Cost Analysis (TCA) for enhancing algo performance
  • Equity Market structure research & analysis – for example, deep dives into market impact, dark liquidity, smart order routing & algorithmic order placement.
  • Core Requirements
  • We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.
  • 4-6 years of experience in the financial sector with direct practical experience in equity markets
  • Bachelor or Master's Degree in Finance, Economics or Mathematics (Including equivalents of CA, CFA, FRM, MMS, MBA). Engineering degree is preferred

Who can apply

  • We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.
  • 4-6 years of experience in the financial sector with direct practical experience in equity markets
  • Bachelor or Master's Degree in Finance, Economics or Mathematics (Including equivalents of CA, CFA, FRM, MMS, MBA). Engineering degree is preferred
  • Able to demonstrate practical mastery of data analysis at scale
  • Significant experience in any mathematical/high-level programming language such as Python/R
  • Exposure/knowledge of different equity and equity derivatives products is desirable
  • Strong written and verbal communication skills
  • Practical expertise in constructing data processing pipelines and constructing enriched datasets from diverse sources - internal as well as external
  • Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
  • Complementary Skills

About Morgan Stanley

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than…

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