Bloomberg is looking to solve the problem of delivering high-quality data, news, and analytics to its clients through innovative technology, and is seeking a Senior Data Management Professional to provide domain expertise in financial concepts and annotation program management to the development of its AI products.
Requirements
- A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
- Experience using data visualization tools such as Tableau or Qlik Sense.
- Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
- Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
- Extensive experience in communicating results in a clear, concise manner using data visualization tools.
- Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
- Keen interest and familiarity with generative AI frameworks.
Responsibilities
- Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
- Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
- Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
- Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
- Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
- Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
- Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Other
- A bachelor’s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
- Ability to take a hands-on role in project and product coordination when needed
- Ability to communicate results in a clear, concise manner
- Ability to work with cross-functional teams
- Ability to solve problems and develop data-driven methodologies for high precision & high recall anomaly detection.
