At Bloomberg, our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we’re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
Our Team:
Sovereign debt is the cornerstone of global finance and the largest and most liquid asset class in fixed income. We work closely with treasuries and central banks around the world to onboard their debt securities on the Bloomberg terminal in a timely manner, ensuring excellent data quality. Information about the issuance of bonds by governments is time-sensitive and often market-moving, and something a lot of our clients track carefully. By using technology, domain expertise, and relationships with issuers we aim to be the best data and analytics platform in the market.
What's the Role?
As a Data Analyst with our team, you will be responsible for the acquisition, maintenance and quality assurance of sovereign debt data. This will entail monitoring daily market events, close collaboration with the data engineers on the team to ensure automated processes work as expected, provide support to external clients with complex data queries and engage with issuers on a regular basis in support of various projects. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients stay on top of developments within the Sovereign bonds market.
You're the type of person who looks beyond the headline with a keen eye for detail because you know how data inspires market trends, breaking news, and analysis. With ever increasing coverage and demand for timely data, you will be responsible for managing priorities of different initiatives and for utilizing industry knowledge to help drive decisions and generate new dataset offerings. You will need to know your customer, their challenges, and their workflows. With this insight, you will bring creative ideas to the table on how we can make our data integration seamless and more efficient.
We’ll trust you to:
- To have knowledge in Fixed income and an interest in Sovereign debt specifically
- Have experience working with data and have an understanding about data quality best practices
- Liaise with Treasuries and Central Banks to ensure the debt securities they issue are added timely and accurately on Bloomberg
- Effectively collaborate with other internal departments, such as but not limited to Product, Engineering and News on dataset product development initiatives
- Develop expertise in local Sovereign debt markets across the Americas
- Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement solutions to enhance our processes/overall product strategy
- Collaborate with Sales to promote Sovereign debt data using the relevant subject matter expertise, and use knowledge gained from client interactions to enhance the dataset
- Assist our world-renowned client support help desk with escalated client inquiries related to Sovereign debt.
- Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions
You’ll need to have:
- Minimum 4+ years of experience working with financial data, preferably within the Fixed income asset class.
- Demonstrated data management experience such as running data quality initiatives, overseeing data governance, implementing best practices with regards to data acquisition and updates.
- Experience in client engagement and excellent written and verbal communication skills especially when explaining technical processes and solutions to business partners and management. Proficiency in English, Portuguese, and Spanish Languages preferred.
- A bachelor's degree or higher in data technology or financial field, or degree-equivalent qualification
- Be comfortable with a high degree of autonomy and managing priorities from multiple internal and external partners
- Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems
- Strong collaboration skills and experience working as part of a multi-location team
We’d love to see:
- Project management experience, particularly in Agile framework
- Interest in technology
- Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel. Experience in SQL and/or Python is a plus.
- Strong communication and interpersonal skills
If this sounds like you:
Apply if you think we're a good match. We’ll get in touch to let you know what the next steps are.
