Morgan Stanley Hiring for Python / Perl Dev (application Development) at Mumbai, Maharashtra, India Full Time

Job Description

Python / Perl Dev (Application Development)

Job Number: 3181187
POSTING DATE: Jul 25, 2021
PRIMARY LOCATION: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)
EDUCATION LEVEL: Bachelor’s Degree
JOB: Development
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Vice President

DESCRIPTION
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow.

Technology/Role/Department at Morgan Stanley

Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award winning technology platforms that help to propel our Firm?s businesses to be the top in the market. Our India technology teams are based in Mumbai and Bengaluru. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.

Institutional Securities Technology (IST) is one of seven divisions within Technology & Data. We face off to the business and support services to develop and oversee the overall technology strategy and bespoke technology solutions to drive and enable the enterprise. Our clients include Fixed Income, Equities, Commodities, Investment Banking, Research, Global Capital Markets, Operations, Finance, and Legal & Compliance. We are responsible for Pioneer and Application Infrastructure, groups that look to develop foundational strategies, tools and technologies that are leveraged across Tech & Data, as well as standardized data and enterprise-wide services to provide leverage to the Firm’s businesses.

Equity Sales, Trading and Risk (ESTAR) develops trading and risk technology solutions for Equity Cash , Derivative, and Swap products.

Automated Risk Trading (ART) builds systems for automated pricing; automated trading; and automated investment for IED, and is responsible for the Automated Risk Trading, Flow Derivatives and Quantitative Investment Strategies (QIS) global programs as well as contributing to the MSDataZone program for ISG, which aims to build an ISG-wide data science platform.

Job Responsibilities

The Datazone team in Morgan Stanley is seeking a collaborative, hands-on Python development lead to help build out its global data science environment for quants, sales & trading. This is a rapidly-growing and high-priority area, and the growth in users and use-cases has warranted the investment from the business to build out a team in Mumbai, who will be in need of a strong lead / manager. You will work closely with quants and traders on multiple trading desks to design, develop, deploy and support the innovative data science environment that utilizes the latest Python ecosystem. You will work within a global team in an agile environment, so strong communications skills are very important.

QUALIFICATIONS
Skilled required:

• Experience developing & designing data-driven systems in Python
• Experience managing a development team
• Python data engineering stack including libraries such as Flask / Numpy / Pandas / Dask / Plotly / Jupyter

Skills desired:

• Full stack HTML5 Web development experience
• KDB knowledge or experience with another high-performance timeseries database
• Experience with financial concepts such as equities / fixed income / options / futures
• Experience with AWS or Azure