MSET QR Role: Job Description

Division: Global Markets Group (GMG) Job Title: MSET QR Strats Analytics Location: Mumbai - NKP JobLevel: Associate CompanyProfile

/MorganStanleyisaleadingglobalfinancialservicesfirm providingawiderangeofinvestmentbanking,securities, investmentmanagementandwealthmanagementservices.TheFirm'semployeesserveclientsworldwideincluding corporations, governments and individuals frommore than 1,200 offices in 43 countries//./

/Asamarketleader,thetalentandpassionofourpeopleiscritical tooursuccess. Together,weshareacommonsetof valuesrootedinintegrity,excellenceandstrongteamethic. MorganStanleycanprovideasuperiorfoundationfor building aprofessionalcareer-a placeforpeople tolearn,toachieve andgrow.Aphilosophythatbalances personal lifestyles, perspectivesandneeds is animportant partof our culture//./ DepartmentProfile

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 world’s 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 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.

Global Markets Group is the offshoring arm of Morgan Stanley’s Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, strats to risk management. Primary Responsibilities ** 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.

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.

The expected working hours will be 7:00 Am (local time)  4:00 pm (local time)

The key elements of the role are –

§ Engineering Graduate with 0-3 years of experience. § Extensive data analysis and data engineering which includes Data preparation, Feature engineering, strategies /optimization § Develop strategic solutions using quantitative techniques § Construction of reusable components to process and access complex data § Automation of quantitative methods and construction of complex data handling techniques which includes data from diverse data sources across the firm (-reduces time/space complexity) § Assist in the construction and calibration of strategies relating to various quantitative problems Core Requirements

We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.

• An advanced degree from a strong program that focuses on Data Analytics/Decision 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 Machine learning techniques on large datasets is an additional advantage * An understanding of feature engineering from data * Additional experience with time series modeling techniques is an advantage * Experience with Linux, shell scripts and automation * Explore large data handling applications and programming techniques

/Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential./ **//

Job: *Investment Banking/Sales/Trading/Research

Title: Associate– MSET-QR Strats Analytics-Asia-NY- [IED]

Location: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)

Requisition ID: 3242295