Senior Manager, Institutional Equity Division

Department Profile:

Morgan Stanley's Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs.

The Quantitative Research (QR) group designs, builds and maintains the models which drive the equity trading engines at Morgan Stanley. Our systems are used globally by both internal trading groups and clients of the firm. We utilize systematic, data-driven approaches to understand how markets work and put those ideas in action. The team spans the disciplines of finance, econometrics, statistics, mathematics, machine learning and data analysis, with many team members well versed in multiple areas. We are looking to hire highly talented, creative individuals who are enthusiastic about research and about making a contribution to a leading-edge team, in an intellectually stimulating environment.

Primary Responsibilities:

• This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research teams.
• The expected working hours will be London hours.
• Perform in-depth Transaction Cost Analysis (TCA) for enhancing algo performance.
• Bespoke client trading analysis
• Maintaining and analyzing trading and referential data
• Market structure analysis

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
• 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:

• Experience with Linux, shell scripts and automation
• Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server