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Senior Data Management Professional

4 months ago


Singapur, Singapore Bloomberg Full time
Senior Data Management Professional - Data Engineering - Equity Corporate Actions Data, Singapore

Singapore

Posted May 31, Requisition No

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, **24/7** – from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply **creative** skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products, and processes - all while providing platinum customer support to our clients.

Our Team:

Our team is responsible for acquiring and maintaining the full life-cycle of Equity Corporate Actions data which includes corporate actions, IPOs, and M&A. In order to create a **complete** client experience across the product offering (including but not limited to Enterprise Data, Indices, News, Terminal, AIM). **Collaboration, deep domain knowledge, automation, and data management** expertise are paramount for our ability to continuously deliver high-quality data to our rapidly growing client base. Our data is a **essential** building block in Bloomberg's overall offering, being used by more than a third of Bloomberg's **huge** user base.

What's the Role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to increase value from our data product. In this role, you will be responsible for **developing strategies** to optimize the value of Equity Corporate Actions data for our clients and **enhance** data operations. You will be a technical leader in the distributed team, **solving issues** with technical skills and devising solutions for data challenges. You will set strategy for quality enhancements of Equity Corporate Actions data and work closely with various partners to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a **meaningful** impact on the team's success.

We trust you to:

  • Build and maintain robust and scalable data pipelines to support the ingestion, transformation, and loading of vast amounts of data from various sources using Bloomberg tech stack components such as Bloomberg Data Services, Dataflow recipes, and Data Technologies Pipelines or equivalent tech stack such as Amazon S3, Amazon Web Services Lambda, Kafka, Python Pandas
  • Develop, maintain, and enhance data processing workflow to support data quality strategies
  • **Devise and execute** data acquisition strategies for data fields from diverse and disparate, structured, and unstructured sources
  • Set up business rules and visualization to **validate** the accuracy, timeliness, and completeness of Corporate Actions data using Bloomberg tech stack components such as business rule engines and QlikSense
  • Design producer database structures optimized for our specific use cases
  • Analyze internal processes to find opportunities for improvement and **engineer** efficient and innovative workflows using programmatic machine learning approaches
  • Use your deep understanding of Equity markets and data, including trading and analytics workflows, to create comprehensive and transparent solutions that fit the use case of our internal and external clients
  • Understand clients' and markets' needs on each Corporate Actions data field to **extract** and maintain it
  • Collaborate with partners in creating data manipulation frameworks and establishing standard methodologies using Bloomberg's tech stack
  • Apply your proven project management skills to ensure all technical projects are on track with the right requirements
  • Be responsive, resourceful, flexible, and an excellent collaborator - Partner with our Product, Technology, and Data Management Lab team to ensure consistent principles are leveraged, tools are fit for purpose, and results will be measurable
  • Balance the best of technical and product knowledge to craft solutions for customers.

You'll need to have: