Programme duration: 15-18 months

At Bloomberg we work on purpose. The goal of our apprenticeship programme is to help you find yours.

Are you interested in the world of finance? Do you want to learn how data and technology keeps the global markets moving? Our Data Fellowship apprenticeship combines an industry recognised qualification with practical work experience.

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. We will provide you with the right tools to build on your programming and data management skills. You will be part of a supportive and dynamic team with an entrepreneurial mind, assessing product performances against business needs to drive future developments.

Bloomberg is a company that is constantly innovating and you’ll learn as much about yourself as our business. Bloomberg will support you every step of the way. You’ll get a dedicated line manager, a buddy and a mentor. 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.

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, Desktop Build Group 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.

Eligibility Criteria

Must Haves:

•      GCSE English and Maths at grade 4 or above (or equivalent)
•      Three A-levels (one must be in Maths, and with a preference for STEM subjects for the remaining two)

or a Level 3 apprenticeship in a similar subject
or an International Baccalaureate at Level 3 in a STEM subject
or a BTEC Extended Diploma in a STEM subject (180 credits)


•      Learners must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject
• To be eligible for the government funding learners must have the right to work in the UK

Nice to Have:

• A-Level in Economics

Success Criteria

•      Strong technical skills including a good level of Excel (if you can conduct v-lookups, pivot tables, formulae that would be an advantage)
•      Motivation to pursue a career in Fintech industry 
•     A keen interest in the financial markets
•      A clear and proven interest in technology
•      Excellent verbal and written communication skills
•      Meticulous attention to detail
•      Aptitude for problem solving, plus the drive to think creatively
•      Capable of handling multiple tasks simultaneously in a time sensitive environment

Application Process

Applications will remain open until end of September 2021, however, we recruit on a rolling basis so an early application is advised.

Step 1: Online Application Form: Submit an online application form along with your most up-to-date CV and/or your UCAS personal statement. Show us you are eligible.

Step 2: Telephone Interview: Successful candidates will be invited to schedule a 20 minute telephone conversation with a Bloomberg Recruiter. Show us you are motivated.

Step 3: Team Leader Interview: Complete some interactive online tasks and exercises designed to help you demonstrate your strengths and abilities. Show us you are capable.

Step 4: Final Interview: Meet with our Managers to discuss your motivations and potential. Show us you are the best person for the apprenticeship.

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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email access2@bloomberg.net. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or info@employ-ability.org.uk
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