Big data specialist 3145594

Full Time
Main Location
New York City, NY, United States
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Company Profile


Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. With offices in more than 43 countries, the people of Morgan Stanley are dedicated to providing our clients the finest thinking, products and services to help them achieve even the most challenging goals.

As a market leader, the talent and passion of our people is critical to our success. We embrace integrity, excellence, team work and giving back.

 


Technology


The Technology division partners with our business units and leading technology companies to redefine how we do business in ever more global and dynamic financial markets.

 

Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to clients’ businesses—and to our own.


Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. Our clients include Fixed Income, Equities, Commodities, Investment Banking, Research and Global Capital Markets.

 

We are also responsible for Pioneer and Application Infrastructure groups that look to develop foundational strategies, tools and technologies that are leveraged across Technology, as well as standardized data and enterprise-wide services to provide leverage to the Firm's businesses.

 


Position Description:

 

TEDRA (Trade Enrichment Data Reporting & Allocations) is part of the Institutional Securities Technology (IST) Division. It is responsible for maintaining, distributing, and reporting on trading, revenue, risk, and reference data (client, product, and pricing). As the authoritative source of key data sets, we are at the forefront of database technology and are heavily involved in data engineering, data science, data visualization, and machine learning efforts across the Firm.

  

This is a data engineer role in the team responsible for developing on the firm's Trade Capture data stores that holds the transactional bigdata for real time and archive processing.

 

The candidate will be as part of the team involved in building scalable and high performance database and components for regulatory, business analytics (metrics reporting) and operational risk reporting.

 

The global team consists of highly technical team members who are adaptable to both hands on development and project management. We deliver multiple projects for multiple business areas in parallel. The business owners and subject matter experts will be globally distributed, making communication and pro-active to be important. You will be expected to work closely with our operations partners on requirements for projects.

 

The development will be performed using an agile methodology which is based on scrum (timeboxing, daily scrum meetings, retrospectives, etc.), Kanban Jira Boards and XP (continuous integration, refactoring, unit testing, etc.) best practices. The candidate will be able to work collaboratively within a larger team.

Required skills

 

- At least 3 years of relevant experience
- Good relational database skills 
- Strong with scripting language such as Python  

 

Nice to have

 

- Strong understanding of ETL processes 
- Good Knowledge on Hadoop or Spark 
- Experience with tools such as Talend.
- Real time message processing experience is a big plus.
- Create high quality and optimized stored procedures and queries
- Experience with Power Designer or some similar modeling tool.
- Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts.
- Familiar with lifecycle of a trade and flows of data in an investment banking operation is a plus.

 

Knowledge of French and English is required.

 

 

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

 


Mission
We're a community of women leveraging our connections into top companies to help underrepresented women get the roles they've always deserved. Simultaneously, we work to build truly inclusive hiring processes and environments where women can thrive and not just survive.
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Big data specialist 3145594
Morgan Stanley Technology