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- Tasks: Join our team to develop country risk indices using large datasets and automation.
- Company: Bloomberg Economics is a global leader in economic research and analysis.
- Benefits: Enjoy a diverse, inclusive work environment with opportunities for growth and collaboration.
- Why this job: Make an impact by analysing data that shapes economic understanding globally.
- Qualifications: Experience with Python, data analysis, and a degree in political science or economics preferred.
- Other info: Open to recent graduates with a strong collaborative background in data projects.
The predicted salary is between 28800 - 48000 £ per year.
With close to 50 economists and 200 economics and governmentreporters worldwide, Bloomberg has an outstanding capacity to explain where theworld is economically and politically, where it might be heading, and the waysin which geopolitical and economic forces interact.
Bloomberg Economics already offers a comprehensivemacroeconomic research service for Terminal subscribers. That includes detailedforecasts, supported by thorough and original thematic research.
We are seeking a data analyst to join our team to help buildcountry-risk indicators for a period of 12 months.
The role:
The successful candidate will contribute to the developmentof country risk indices.
We’ll trust you to:
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Builda range of country-level risk indices using large datasets, incollaboration with other colleagues in Bloomberg Economics.
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Buildsolutions to keep those indices up to date using APIs and automatedscripts
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Contributeto the development of visualization tools to display those indices
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Fromtime to time, collaborate with our Geoeconomics team to publish analysisfeaturing the country risk indices on the Bloomberg Terminal
You’ll need to have:
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Experienceworking with Python to analyze large datasets, call APIs and visualizedata in charts and dashboards
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Experiencecollaborating on data projects as part of a team using Git
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Basicknowledge of software engineering best practices (e.g., writingmaintainable and scalable code, testing, code review…)
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Englishproficiency
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Academicor professional experience of applying statistical and econometric methodsto analyzing data
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Experienceapplying quantitative methods to topics related to political science,environmental science or economics
We’d love to see:
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Degreein political science or economics
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Experienceautomating scripts using Apache Airflow
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Experiencewith other programming languages, especially R
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Someprofessional experience is a plus, but recent graduates with a proventrack record of collaborating on data analysis projects (as a researchassistant for example) are also welcome to apply
If this sounds like you:
Please apply and you\’ll be notified on the next steps.
Life at Bloomberg is many things, but it’s never dull. We\’rea truly global business with a truly diverse workforce. We pride ourselves onbeing open, inclusive and collaborative, and provide a work environment thatinspires our employees to be their best.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
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
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Bloomberg Economics - Country Risk Data Analyst (12 Months Contract) London, GBR Posted yesterday employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bloomberg Economics - Country Risk Data Analyst (12 Months Contract) London, GBR Posted yesterday
✨Tip Number 1
Familiarise yourself with Bloomberg's existing country risk indices and macroeconomic research. Understanding their current methodologies and data sources will help you demonstrate your knowledge during interviews and show how you can contribute to their team.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data analysis and visualisation. Consider working on personal projects or contributing to open-source projects that involve large datasets, as this will give you practical experience to discuss in your application.
✨Tip Number 3
Network with professionals in the economics and data analysis fields, particularly those who have experience with Bloomberg. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare to discuss your experience with collaborative projects using Git. Be ready to share specific examples of how you've worked in teams to solve data-related problems, as teamwork is a key aspect of the role at Bloomberg.
We think you need these skills to ace Bloomberg Economics - Country Risk Data Analyst (12 Months Contract) London, GBR Posted yesterday
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially with Python, data analysis, and any projects involving country risk or economic indicators. Use keywords from the job description to align your skills with what Bloomberg is looking for.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background in political science or economics makes you a great fit. Mention specific experiences where you've collaborated on data projects or used statistical methods.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your experience with APIs, Git, and any automation tools like Apache Airflow. If you have experience with R or other programming languages, make sure to mention that too.
Highlight Team Collaboration: Since the role involves collaboration, provide examples of how you've successfully worked in teams on data projects. This could be through academic projects, internships, or previous jobs. Emphasise your ability to communicate and work well with others.
How to prepare for a job interview at Bloomberg L.P.
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, especially in analysing large datasets and visualising data. Be prepared to discuss specific projects where you've used these skills, as this will demonstrate your capability to contribute effectively to the role.
✨Demonstrate Team Collaboration
Since the role involves working closely with colleagues, emphasise your experience collaborating on data projects using Git. Share examples of how you’ve successfully worked in a team environment, as this is crucial for the position.
✨Understand the Role's Context
Familiarise yourself with Bloomberg Economics and its approach to country risk indices. Being able to discuss how geopolitical and economic forces interact will show your genuine interest in the field and the company’s mission.
✨Prepare for Technical Questions
Expect questions related to statistical and econometric methods, as well as software engineering best practices. Brush up on these topics and be ready to explain how you've applied them in your previous work or studies.
