Senior Data Management Professional - Data Engineering - Sovereigns Debt DataBloomberg runs on data. Our products are fueled by powerful information. Webine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering information, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while working very closely with our clients.

Our Team:
Sovereign debt is the cornerstone of global finance and the largest and most liquid asset class in fixed ie. We work closely with Treasuries and Central Banks around the world to onboard their debt securities on Bloomberg in a timely manner, ensuring excellent data quality. Information about the issuance of bonds byernments 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 Sovereign Debt Data Engineer you will be responsible for growing our automated processes, improving existing ETLs, and developing quality controls by using technology solutions.

We'll Trust You To:

Have good understanding about sovereign debt and its main issuance techniques Use technical skills to develop, scale, and maintain the data pipelines and processes that interact with our databases Effectively collaborate with a variety of internal partners across Data, Engineering, Business, and Sales on strategic product development and execution Use statistics and data visualization to generate insights about ongoing operations and projects andmunicate the results effectively Incorporate machine learning and statistics to detect anomalies and drive quality improvements in areas such as accuracy,pleteness, consistency, and reliability Use technology to solve problems and optimize current processes in areas such as data quality, data acquisition, and workflow automation, alongside Domain Experts and Technical Account Managers Develop an in-depth understanding of the Sovereign Debt workflows and how its data is used and consumed by our clients Work with clients on ad-hoc basis, either in support of questions around the dataset, the technology behind it, or as part of collaboration on automation projects with various Treasuries & Central Banks

You'll Need to Have:
Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

Bachelor's degree or equivalent experience inputer Science, Quantitative Finance, or a related Technical degree, preferably inbination with a Finance or Business field 4+ years of programming and scripting in a production environment (Python, Javascript, etc)4+ years of experience working with databases either SQL or NoSQL* Understanding of machine learning, applied statistics, and data analytics Understanding and experience of large-scale, distributed systems Strong problem-solving skills, particularly to modify and improve processes and workflows Excellent written and verbalmunication skills to explain technical processes and solutions to business partners and management High attention to detail, as well as decision-making and problem-solving skills Ability to work independently, as well as in a distributed team environment
We'd Love to See:
Agile/Scrum project management experience Experience using data analysis and visualization tools, such as Tableau or QlikSense