Morgan Stanley

Senior Associate - MSET QR Data Strats _Institutional Equity Division

Posted On

Dec. 23, 2024

Location

Mumbai, Maharashtra

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Jan. 29, 2025

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 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.

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.

Core Requirements

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

· 2-4 years of experience as system analyst preferably in financial sector

· An understanding and practical application of software engineering development lifecycle

· UNIX shell scripting with Python and/or Perl

· Experience with Linux servers, filesystems, and automation setup for regular maintenance tasks.

· Working knowledge of job scheduling systems, such as Autosys

· Experience with designing and maintaining CI/CD pipelines with Git and Jenkins

· Bachelor’s or master’s Degree preferably in Computer Science & information technology

· Significant experience in any mathematical/high-level programming language such as Python/ Perl

Strong written and verbal communication skills

Complementary Skills

· Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server

· Development in other programming languages, such as Java, C++

· Understanding of equity markets

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

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Senior Associate - MSET QR Data Strats _Institutional Equity Division Apply Now

Job Description

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