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.
Primary Responsibilities
The key elements of the role are -
- 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
- 4-6 years of experience in the financial sector with direct practical experience in equity markets
- Bachelor or Masters 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
- Robust 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
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 MSET QR Client Analytics Role, Senior Manager (Mumbai)
🏢 Morgan Stanley
📍 Mumbai
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