Analyst, P1, Software Eng I

COMMERZ III, OBEROI GARDEN CITY, India

Morgan Stanley

Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.

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About Us

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.

DataZone is A next-generation, scalable data science environment that allows for collaboration across data, modelling and infrastructure.

Job Responsibilities

The Datazone team in Morgan Stanley is seeking a collaborative, hands-on Python development talent 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 tech hands on lead & Architect.

The DZ platform is a developed-on Python but requires a technical expert who has done and worked on large complex system build out like one would build on C++ or Java distributed systems.

Datazone is available both on-prem and will be running on cloud, this will require the individual to have good understanding and knowledge of the cloud technologies and Python best practices.

You will work closely with DZ technical leads, architects, 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.

Skills

Skilled required:
- Experience developing & designing data-driven systems in Python.
- Experience in Oops and build out of server-side system on C++ or Java

- System Architecture & Design Skills

- Cloud technologies & tools

- Agile/DevOps & SRE driven mindset

- 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

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  6  2  0
Category: Analyst Jobs

Tags: Agile Architecture AWS Azure Banking DevOps Distributed Systems Engineering Finance Flask Java Jupyter NumPy Pandas Plotly Python Research

Perks/benefits: Career development Equity / stock options Flex hours

Region: Asia/Pacific
Country: India

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