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HR at Morgan Stanley
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Morgan Stanley - Quant Research Stats Role - Data Analytics (1-4 yrs)
Quant Research Strats Data Analytics - Mumbai
- 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 enthusiastic about making a contribution to a leading-edge team, in an intellectually stimulating environment.
Opportunity :
- We are looking for a quantitative researcher for our quantitative research team.
- Quantitative researchers collaborate closely with quantitative researchers, MSET business partners and Technology to enhance the performance and product offering of our equity trading algorithms.
Key elements of the role :
- Extensive data analysis and engineering covering but not limited to transformation, extraction, feature engineering
- Engineering strategic solutions to manage this data and make it available to other members of the team
- Construction of reusable components to process and access data
- Automate construction of complex data models consisting of data from diverse data sources across the firm
Additional tasks :
- Assist in the construction and calibration of models relating to various quantitative problems
- Explore the application of Machine Learning techniques to current data and client trading.
Qualifications :
Core Requirements :
- An advanced degree from a strong program that focuses on Machine Learning/Data Science/Computer Science/Physics/Mathematics/Statistics 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
- Strong written and verbal communication skills.
- Complementary Skills
- Previous experience in application of ML techniques to large datasets
- An understanding of feature engineering from data.
- Additional experience with time series modeling techniques is an advantage.
- Experience with Linux, shell scripts and automation
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