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- Tasks: Build country-risk indicators and collaborate on data projects with a dynamic team.
- Company: Join Bloomberg Economics, a leader in economic research and analysis.
- Benefits: Gain valuable experience, work with experts, and enhance your skills in a supportive environment.
- Why this job: Make an impact by analysing data that shapes global economic understanding.
- Qualifications: Experience with Python, data analysis, and a passion for economics or political science.
- Other info: Perfect for recent graduates eager to kickstart their career in a fast-paced setting.
The predicted salary is between 36000 - 60000 £ per year.
Bloomberg Economics – Country Risk Data Analyst (12 Months Contract)
Location
London
Business Area
Research
Ref #
10046624
Description & Requirements
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 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…)
- 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 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\’ll be notified on the next steps.
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Bloomberg Economics - Country Risk Data Analyst (12 Months Contract) employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bloomberg Economics - Country Risk Data Analyst (12 Months Contract)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Bloomberg on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding how to apply statistical methods in real-world scenarios. We want you to show off your knowledge and passion for data analysis!
✨Tip Number 3
Don’t just focus on your technical skills; be ready to discuss how you’ve collaborated on projects. Teamwork is key at Bloomberg, so share examples of how you’ve worked with others to achieve results.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Bloomberg team. Good luck!
We think you need these skills to ace Bloomberg Economics - Country Risk Data Analyst (12 Months Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data analysis. We want to see how you've tackled large datasets and collaborated on projects, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about country risk analysis and how your background in political science or economics makes you a great fit for the role.
Showcase Your Projects: If you've worked on any relevant projects, especially using Git or visualisation tools, make sure to mention them. We love seeing real examples of your work and how you’ve applied your skills!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Bloomberg
✨Know Your Data
Make sure you brush up on your data analysis skills, especially with Python. Be ready to discuss how you've used it to handle large datasets and visualise data. Prepare examples of projects where you've built or maintained data indices.
✨Understand the Role
Familiarise yourself with Bloomberg Economics and their approach to country risk indicators. Research their existing indices and think about how you can contribute to their development. This shows genuine interest and helps you align your answers with their needs.
✨Collaboration is Key
Since teamwork is crucial for this role, be prepared to share experiences where you've successfully collaborated on data projects. Highlight your familiarity with Git and how you've worked with others to achieve common goals.
✨Brush Up on Econometrics
Given the focus on statistical and econometric methods, review key concepts and be ready to discuss how you've applied them in your work. If you have experience related to political or environmental science, make sure to weave that into your responses.
