EmployAbility Bloomberg Summer Internship 2020 - Desktop Build Group
Bloomberg Offices, Central London
|Sunday 5th April 2020|
Bloomberg is the world's primary distributor of financial data and a top news provider. Our customers around the world rely on us to deliver accurate, real-time business and market information that helps them make important financial decisions. At Bloomberg, we are guided by four core values that are the foundation of our continued success: innovation, collaboration, customer service and doing the right thing.
What is Desktop Build Group?
The Desktop Build Group works closely with Bloomberg's Sales and Product departments to increase clients' dependency on our terminals by creating desktop solutions. Historically, our offerings revolved around our Excel APIs, however in the last few years the team has leaned towards a new, more powerful product: an internally developed Quant platform that combines Python, a programmatic language and the Bloomberg database.
On top of building solutions, DBG influences the enhancement of the product and meets with major market players in finance to gather improvement insights. The projects and daily tasks vary over time: they include conquering market share by migrating client’s workflow from competitors to Bloomberg, building bespoke solutions to fill specific product gaps in the Terminal, or promoting the python Quant platform to clients.
What you will be doing?
Big data is one of the hottest topics in Finance. In this role, you will have the opportunity to demonstrate your technical skills on our innovative tool, the python Quant platform. Candidates with SQL and Java skills will gain an overview of our worldwide activity (closed and upcoming deals) from a management perspective, when enhancing our Sales reporting dashboard. You will be part of a supportive and dynamic team with an entrepreneurial mind, assessing product performances against business needs to drive future developments.
As you will have exposure to clients, programming, and product, in particular the python Quant platform, a success in the role can open many doors in different career paths at Bloomberg. You will spend times in different departments across the company during your internship and we envisage your career starting in the Analytics department before moving to the Desktop Build Team. You can find out more about the Analytics department by following this link: https://www.bloomberg.com/company/stories/discover-analytics-fuels-bloombergs-core-mission/
At Bloomberg, you will have the opportunity to go beyond and to take risks. You will be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services fosters innovation and empowers clients -- and offers limitless opportunities for career growth.
What we need:
- Working towards a Degree in Finance / Data Science / Computer Science or Quantitative subject with a strong demonstrable interest in Finance and Computer Science;
- The ability to join us for a full-time Graduate role in 2020 or 2021 – you must have completed all studies including any post-graduate studies you have planned;
- Knowledge of Python with a drive to improve your skills; skills in Excel, VBA, Java, SQL are appreciated;
- Ability to demonstrate autonomy and ownership, while evolving in a team environment;
- Good verbal, presentation, and written communication skills as you work across departments and speak to clients;
- A strong analytical mind and a thirst for making impact.
We'd love to see:
- Ability to speak an additional European language.
How to Apply
Candidates apply through EmployAbility but each applicant is assessed against Bloomberg's core competencies and selected through Bloomberg's recruitment process. Successful candidates are hired directly onto the Internship Programme and participate in every aspect of it.
If you have any extenuating circumstances or require further information about the Internship Programme, please contact Sarah on +44 (0)7852 764 684 or email email@example.com
This programme is now closed for applications.