Job Directory Morgan Stanley Data Engineering (Engineering)
Morgan Stanley

Data Engineering (Engineering) Morgan Stanley
New York, NY

Morgan Stanley is an American financial services company that offers securities, asset management, and credit services.

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About Morgan Stanley

Job Description

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. 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. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses and to our own.

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses and to our own.

MS Investment Management Technology (IMIT) - Morgan Stanley Investment Management Technology exclusively partners with the Morgan Stanley Investment Management business division to design and develop systems and integrate vendor products to globally support full life cycle business processing. Activities include Portfolio Analysis, Risk, Trading, Operations, and Sales & Marketing. Morgan Stanley Investment Management (MSIM) Technology also provides holistic support and quality assurance across the suite of applications used in the MSIM environment.

Role Description: Data Engineer in IM Technology

We need a technically astute and client oriented engineer to join our NY based data engineering team. Your impact will be to curate, design and catalog high quality data models to ensure data is accessible and reliable. Build highly scalable data processing frameworks for use across a wide range of datasets and applications. Provide data-driven insight critical to decision-making to MSIM's business processes, in order to expose data in a scalable and effective manner. Understanding existing and potential data sets in both an engineering and business context.

Responsibility

* Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
* Evaluate, select and acquire new internal & external data sets that contribute to business decision making
* Engineer streaming data processing pipelines
* Drive adoption of Cloud technology for data processing and warehousing
* Engage with data consumers and producers in order to design appropriate models to suit all needs

Skills and Experience we are looking for

* 3-5 years of relevant work experience in a team-focused environment
* A Bachelor's degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
* Working knowledge of more than one programming language (Python, Java, C , C#, etc.)
* Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
* In-depth knowledge of relational and columnar SQL databases, including database design
* General knowledge of business processes, data flows and the quantitative models that generate or consume data
* Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts
* Independent thinker, willing to engage, challenge or learn
* Ability to stay commercially focused and to always push for quantifiable commercial impact
* Strong work ethic, a sense of ownership and urgency
* Strong analytical and problem solving skills
* Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
* Strong understanding of data structure and algorithms

Preferred Qualifications

* Hadoop, hbase, spark, apache arrow, data streaming
* Scraping large scale public datasets in real time
* Building and maintaining large scale high performance computing applications
* Experience building web frontend with React or Vuejs

About Morgan Stanley

Morgan Stanley is an American financial services company that offers securities, asset management, and credit services.

Headquarters
Size
60469 employees
Morgan Stanley

1585 Broadway

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