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2020 Bloomberg Global Data Externship (August 2020)

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Bloomberg

Bloomberg

2020 Bloomberg Global Data Externship (August 2020)

Princeton, NJ
Internship
Paid
  • Responsibilities

    You’re a data junkie. You are enthralled by numbers, insights, and how information drives the financial markets. You don’t simply see data as standalone points. You understand that data is the catalyst for key players to make knowledgeable decisions.

    If the above description sounds like you, come and join us for our Spring Externship and immerse yourself in all things, Bloomberg. This is an amazing opportunity to participate in one of our signature early engagement programs and learn about our company culture, commitment to diversity and inclusion and Global Data business.

    This externship may also provide you with the opportunity to explore an internship within our Market Data Analyst Internship for Summer 2021.

    What is the Externship Program? The Global Data Externship is a three-day crash course on the Bloomberg Terminal, our clients and customers, and our technology stack.

    You will also have the opportunity to:

    • Receive exposure to our transparent culture, open environment, and Global Data business
    • Develop your market sector knowledge and learn from industry experts
    • Participate in group projects, networking events, and professional development activities
    • Join in a Bloomberg philanthropy event
    • Enhance your leadership skills and interpersonal skills through networking events
    • Opportunity to secure a summer internship for 2021

    What is Global Data?

    At Bloomberg, our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Global Data, we’re responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.

    More than 320,000 business leaders rely on the real-time financial information available on the Bloomberg Terminal. We provide portfolio managers with real-time information on companies’ financial performance to assist in profitability analysis, and to determine the risk and return of their investment. Buy-side and sell-side equity analysts use our data to create valuation models in order to provide stock recommendations, target prices, and to assess the viability of investing in a company.

  • Qualifications

    If you are interested in the Global Data Externship you’ll need to:

    • Be working towards, or already possess, a bachelor’s degree from a four-year college or university
    • Graduate, or have graduated on or before December 2021 or May 2022
    • Be legally authorized to work full-time in the United States and not require visa sponsorship now or in the future
    • Be available to attend for the duration of the program, August 12th- 14th

    You'll also need to have:

    • Coursework or involvement within a field like Business Analytics, Information Systems, Computer Science, Finance, Accounting, Mathematics, Economics, or other applied sciences
    • Demonstrated project/work experience using one or more programming language (e.g. Python, JavaScript, SQL, etc.)
    • Interest in data, technology, and the financial markets
    • Extracurricular activities in addition to coursework
    • Effective written and verbal communication skills
    • Strong aptitude for problem-solving, plus the commitment to think creatively
    • Preferred GPA of 3.0 or above

    If this sounds like you: Apply! If we think you are a good match we'll get in touch to let you know the next steps.

    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

  • Industry
    Financial Services
  • About Us

    Bloomberg is building the world's most trusted information source and community for financial professionals. As a global information and technology company, Bloomberg uses its dynamic network of data, ideas and analysis to solve difficult problems.