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- Tasks: Join Bloomberg Economics to develop country risk indices using large datasets and collaborate with a dynamic team.
- Company: Bloomberg is a global leader in financial data and analytics, known for its diverse and inclusive culture.
- Benefits: Enjoy a collaborative work environment, opportunities for growth, and the chance to make a real impact.
- Why this job: This role offers hands-on experience in data analysis and the chance to contribute to meaningful economic insights.
- Qualifications: Experience with Python, data analysis, and a background in political science or economics is preferred.
- Other info: Recent graduates are encouraged to apply; Bloomberg values diversity and is committed to an inclusive workplace.
The predicted salary is between 28800 - 48000 £ per year.
With close to 50 economists and 200 economics and government reporters worldwide, Bloomberg has an outstanding capacity to explain where the world is economically and politically, where it might be heading, and the ways in which geopolitical and economic forces interact. Bloomberg Economics already offers a comprehensive macroeconomic research service for Terminal subscribers. That includes detailed forecasts, supported by thorough and original thematic research. We are seeking a data analyst to join our team to help build country-risk indicators for a period of 12 months.
The role: The successful candidate will contribute to the development of country risk indices. We’ll trust you to:
- Build a range of country-level risk indices using large datasets, in collaboration with other colleagues in Bloomberg Economics.
- Build solutions to keep those indices up to date using APIs and automated scripts.
- Contribute to the development of visualization tools to display those indices.
- From time to time, collaborate with our Geoeconomics team to publish analysis featuring the country risk indices on the Bloomberg Terminal.
You’ll need to have:
- Experience working with Python to analyze large datasets, call APIs and visualize data in charts and dashboards.
- Experience collaborating on data projects as part of a team using Git.
- Basic knowledge of software engineering best practices (e.g., writing maintainable and scalable code, testing, code review…).
- English proficiency.
- Academic or professional experience of applying statistical and econometric methods to analyzing data.
- Experience applying quantitative methods to topics related to political science, environmental science or economics.
We’d love to see:
- Degree in political science or economics.
- Experience automating scripts using Apache Airflow.
- Experience with other programming languages, especially R.
- Some professional experience is a plus, but recent graduates with a proven track record of collaborating on data analysis projects (as a research assistant for example) are also welcome to apply.
If this sounds like you: Please apply and you will be notified on the next steps. Life at Bloomberg is many things, but it’s never dull. We’re a truly global business with a truly diverse workforce. We pride ourselves on being open, inclusive and collaborative, and provide a work environment that inspires 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.
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 conversations with the hiring team.
✨Tip Number 3
Network with professionals in the economics and data analysis fields, particularly those who have experience with Bloomberg or similar organisations. Engaging with them 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, especially those involving 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 specific examples to demonstrate your skills.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background in political science or economics aligns with Bloomberg's mission. Mention any experience with APIs, Git, or automation tools like Apache Airflow.
Showcase Your Technical Skills: Clearly outline your technical skills in your application. Include details about your experience with large datasets, statistical methods, and any programming languages you are proficient in, particularly Python and R.
Highlight Team Collaboration: Since the role involves collaboration, mention any past experiences where you worked as part of a team on data projects. Emphasise your ability to communicate effectively and contribute to group efforts.
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 Industry Context
Familiarise yourself with Bloomberg Economics and its approach to country risk indices. Being able to discuss current geopolitical and economic trends will show your genuine interest in the field and your ability to contribute to the team's objectives.
✨Prepare for Technical Questions
Expect questions related to software engineering best practices and quantitative methods. Brush up on your knowledge of econometrics and be ready to explain how you've applied these methods in past projects or studies.
