Senior Data Management Professional - Data Engineer

We'll trust you to:

• Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions

• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.

• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.

• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.

• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence

• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

• A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field  or degree-equivalent qualifications

• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture

• Experience working with Python in development or production environment

• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle

• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)

• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality

• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills

• Demonstrated continuous career growth within an organization

• Excellent written and verbal communication skills in English

We would love to see:

• Advanced degree/Master’s degree in a Finance or STEM subject and/or CFA designation (or working towards it)

• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows

• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing

  • Experience designing optimal database structures