Lead Data Optimization Specialist

6 days ago

Hong Kong, Central and Western District, Hong Kong SAR China Bloomberg Full time
Job Description

We are seeking a highly motivated Lead Data Optimization Specialist to join our team at Bloomberg. This role will be responsible for developing strategies to optimize the value of Equity Corporate Actions data for our clients and improve data operations.

About Bloomberg

Bloomberg is a leading financial technology company that provides data, news, and analytics to over 320,000 users worldwide. Our products are fueled by powerful information, combining data and context to paint the whole picture for our clients. We are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.

Your Responsibilities
  • Data Pipelining: You will 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's tech stack components such as Bloomberg Data Services, Dataflow recipes, and Data Technologies Pipelines or equivalent tech stacks like Amazon S3, Amazon Web Services Lambda, Kafka, and Python Pandas.
  • Data Processing Workflow: You will develop, maintain, and enhance data processing workflow to support data quality strategies, ensuring the accuracy, timeliness, and completeness of Corporate Actions data.
  • Data Acquisition Strategies: You will devise and implement data acquisition strategies for data fields from diverse and disparate, structured and unstructured sources.
  • Business Rules and Visualization: You will set up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of Corporate Actions data using Bloomberg's tech stack components such as business rule engines and QlikSense.
  • Producer Database Structures: You will design producer database structures optimized for our specific use cases.
  • Analytical Skills: You will analyze internal processes to find opportunities for improvement and engineer efficient and innovative workflows using programmatic machine learning approaches.
  • Equity Markets Knowledge: You will apply 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.
  • Clients' Needs: You will understand clients' and markets' needs on each Corporate Actions data field to extract and maintain it.
  • Collaboration: You will collaborate with partners in creating data manipulation frameworks and establishing standard methodologies using Bloomberg's tech stack.
What You Need to Have
  • 4+ years of experience working with Python, SQL, and/or NoSQL.
  • 4+ years of experience working in a data engineering role.
  • Proven experience in data management and experience in building ETL pipelines.
  • Proficient in using Tech Stack such as Amazon S3, Lambda function, Kafka, Apache Airflow in a production environment.
  • Exceptional problem-solving skills, numerical proficiency, and high attention to detail.
  • Ability to work independently as well as in a distributed team environment.
  • Ability to optimally communicate and present concepts and methodologies to diverse audiences.
Estimated Salary Range:

$140,000 - $180,000 per year, based on location and experience.

This role requires a strong passion for finance, data, and technology, with excellent analytical and problem-solving skills. If you think you have what it takes to excel in this challenging and rewarding role, we encourage you to apply.

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