Big Data Development Lead Morgan Stanley
New York, NY

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

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.

The eCommunications Surveillance technology team builds and executes complex surveillance models and scenarios that focus on monitoring the firm's employee electronic communications. A team lead in this space partners with business analysts/product owners and coaches developers to drive forward the business agenda through solid design and execution. This is a hands-on lead role.

The ideal candidate should have the skills listed below but in addition should be a self-driven, dedicated individual who can work well with both technical and non-technical audiences. In addition, the candidate should respond well to change and quickly pick up new concepts, as well as devising new approaches for solving challenges in the space. Technical and analytics skills combined with strong interpersonal skills are required.

Skills Required:

7 years of appropriate technical experience

Must have experience with Java8 and Python

Strong Database experience preferably with DB2, Sybase, or Oracle

Good understanding of Hadoop eco-system

Good understanding of the Elastic search environment

Complete SDLC process and Agile Methodology (Scrum)

Strong oral and written communication skills

Experience coordinating or managing a team of developers

Excellent interpersonal skills and professional approach

Skill Desired:

Previous experience in Compliance technology space

Previous experience with Spark processing on Hadoop

Experience with, or exposure to Hadoop and Spark

Knowledge of data analytics tools and method

Experience working across time zones on a global team

Hands-on Data Mining and analytical work experience, big data or Scala on Spark

Unix OS, Scripting, Python or Perl

Knowledge and experience with SAS, R, or SPSS

Experience in developing statistical models and algorithms, particularly natural language processing

Working knowledge of data processing tools/languages including Perl, Python, etc.