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- Tasks: Join us as a data analyst to build country-risk indicators and visualisation tools.
- Company: Bloomberg is a global leader in economic research with a diverse workforce.
- Benefits: Enjoy a collaborative work environment and the chance to work with top economists.
- Why this job: Make an impact by analysing data that shapes global economic understanding.
- Qualifications: Experience with Python, data analysis, and a degree in political science or economics preferred.
- Other info: This is a 12-month contract role based in London.
The predicted salary is between 36000 - 60000 £ per year.
Location: London
Business Area: Research
Ref #: 10043819
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, including 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.
- 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 will be notified on the next steps. Life at Bloomberg is many things, but it’s never dull. We are 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 Economics - Country Risk Data Analyst (12 Months Contract) employer: Avature
Contact Detail:
Avature 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
Familiarise yourself with Bloomberg's existing country risk indices and the methodologies used to create them. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in data analysis and visualisation. Consider working on personal projects or contributing to open-source projects that involve large datasets to showcase your abilities.
✨Tip Number 3
Network with professionals in the field of economics and data analysis. Attend relevant webinars or workshops where you can meet people from Bloomberg or similar organisations, as personal connections can often lead to job opportunities.
✨Tip Number 4
Stay updated on current geopolitical and economic events, as this knowledge will be crucial for understanding the context of the data you'll be working with. Being well-informed will help you stand out as a candidate who is genuinely interested in the role.
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 relevant experience with Python, data analysis, and any projects you've worked on that relate to 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 collaborative projects you've been part of, especially those involving data analysis.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your experience with APIs, Git, and any visualization tools you’ve used. If you have experience with R or other programming languages, be sure to mention that too.
Highlight Relevant Projects: If you've worked on any significant data analysis projects, either academically or professionally, describe them briefly in your application. Focus on your role, the methods you used, and the outcomes of the projects.
How to prepare for a job interview at Avature
✨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 used APIs and automated scripts, as this will demonstrate your technical proficiency.
✨Demonstrate Team Collaboration
Since the role involves working closely with colleagues, share examples of past collaborations on data projects. Discuss how you used Git for version control and how you contributed to team success, as this shows your ability to work well in a team environment.
✨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 understanding of the field and your enthusiasm for the role.
✨Prepare for Technical Questions
Expect questions related to statistical and econometric methods. Brush up on relevant concepts and be ready to explain how you've applied quantitative methods in your previous work or studies, particularly in political science or economics.
