Senior Data Management Professional
Há 1 mês
Job Summary
We are seeking a highly skilled Data Management Professional to join our team at Bloomberg. As a Data Engineer for Financial Data, you will be responsible for handling and improving the financial data that feeds our products, identifying innovative workflow efficiencies, and implementing technical solutions to enhance our systems, products, and processes.
About the Role
As a Data Management Professional, you will be responsible for the data management of publicly filed new issue bond data, creating pipelines from additional sources, establishing and implementing our automation, data alignment, and data quality strategies. You will ensure the best use of our existing new issue bond data and lead the technical implementation of on-boarding new datasets.
Key Responsibilities
- Develop data-driven strategies, balancing the best of technical, product, financial, and dataset knowledge, and work with our engineering and product departments to craft solutions.
- Be responsible for the end-to-end data ingestion of Ownership datasets, including long positions and short position holdings data, transactional data, and derived datasets such as the free float field.
- Analyze internal processes to find opportunities for improvement and implement innovative solutions.
- Communicate and collaborate across team members and complementary teams, including Engineering, Product, Enterprise Data, and News.
- Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles.
- Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions.
- Use data visualization skills to report on results of ongoing operations and projects, as required.
Requirements
- 3+ years of programming experience in a development and/or production environment.
- Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines.
- A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling.
- Experience profiling new datasets and implementing high volume, low-latency ETL pipelines.
- Understanding of data quality standard methodologies to improve the value of the dataset.
- Proven track record of effective project management and a customer-focused mentality.
- Proficiency in English, Portuguese, and Spanish languages preferred.
Preferred Qualifications
- Advanced degree/Master's degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it).
- Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing.
- Experience designing optimal database structures.
- Experience working in an Agile development team.
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