Data Analyst

Short Description

Morgan Stanley is hiring for Data Analyst who will automate data retrieval and produce derived datasets. Also, have knowledge of Python, KDB/q, Unix, SQL. Familiarity with Jupyter Notebook.

Job Description

Primary Responsibilities:
  • Acquire, review, and research new data.
  • Automate data retrieval and produce derived datasets.
  • Work with traders to design and implement new applications for data.
  • Enhance data analysis platform.

Qualifications:
  • Python, KDB/q, Unix, SQL.  Familiarity with Jupyter Notebook is a plus.
  • Team player, good communication skills, self-starter, detail oriented.
  • Bachelor's degree majoring in Statistics/ Computer Science / Math / Engineering or related fields.
  • Advanced quantitative and data science skills in Python.  Familiarity with equity trading and finance a plus.
  • 2+ years experience required.

Data Analyst
Mid-Senior-level Information | Information Technology | Technology Full-time Information Technology | Engineering | Other Data Analyst
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 75 years, the firms reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are four core values putting clients first, doing the right thing, leading with exceptional ideas and giving back that guide its more than 55,000 employees in 1,200 offices across 43 countries.