Job Description
Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the worlds financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanleys 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. Global Markets Group is the offshoring arm of Morgan Stanleys Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, Strats to risk management. 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. This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research teams. The successful candidate will be a fast-learning, dynamic, pro-active and self-motivated individual who can assist the team in working with large data sets and providing maintenance and infrastructure support of the data systems, applications, and servers. The individual will collaborate closely with QR Data team and Technology to support and enhance the features, performance, and data quality of our data systems, applications, and databases. Primary Responsibilities The expected working hours will be 12:30 PM-09:30 PM (IST). The key elements of the role are Responsible for infrastructure, engineering, and operational application support. Monitoring of server & disk utilization along with daily jobs Configuring, onboarding, and maintaining dataset across regions and environments Construction of reusable components to process and access complex data. Explore large data handling applications and programming techniques. Monitor, report and action on exceptions related to Tech Hygiene items.
