Senior Data Engineer, Holdings Data

Senior Data Engineer, Holdings Data at Bloomberg

Bloomberg runs on data, and in the Data team we're responsible for acquiring it, providing it to our clients and helping draw significant insights out of it. We collect, analyze, process, and publish the data which is the backbone of our iconic Bloomberg Terminal and our Enterprise products - the facts and figures which ultimately move the financial markets. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products, and processes - and all this while providing platinum customer support to clients.

Our Team

The Ownership Data team is responsible for the data management of shareholding disclosures for institutional investors and insiders that fuels functions like HDS. In addition, the group maintains computed statistics like Equity Float and Insider Ownership for publicly listed companies. Overall, this aggregated, cleansed, and normalized data fuels analytics, supports News, and is heavily relied on by market players to understand market sentiment and drive investment decisions. The group is dedicated to crafting best-in-class ownership analytics and holdings data while constantly looking to enhance and expand our existing offerings.

What’s the role?

The Ownership Data team is seeking a driven and detail-oriented Senior Data Engineer, Holdings Data who will be a problem solver, an effective communicator, and versatile at balancing technical expertise with a product-focused approach. In this role, you will be diving deep into the different types of Ownership disclosures to identify and address the modeling needs of the datasets and ensure our data is fit-for-purpose. You will use the tech stack to design and implement efficient data ingestion workflows using programming, machine learning, and AI. As a Senior Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.

We'll Trust You To

• Own 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, as well as devise and implement innovative solutions.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and Bloomberg Intelligence.
• 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.
• Contribute to the creation of best practices and guidelines for data management and governance.
• Utilize data visualization skills to report on results of on-going operations and projects, as required.
• Keep up with the industry trends, standards, and innovation in the data quality domain.
• Work in a fast paced, multifaceted & collaborative setting.

You’ll Need To Have

• A BA/BS degree or higher in Computer Science, Mathematics, Finance or relevant data technology field, or equivalent professional work experience.
• 3+ years’ experience in data analysis, financial market research, and/or information technology.
• Proficiency using scripting languages (preferably Python) to build pre-processing services that can be integrated in our data pipelines.
• A solid grasp of data modeling principles and technologies to perform requirements analysis, conceptual, logical, and physical modeling.
• Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines.
• Understanding of quality assurance and quality control from a data and product perspective.
• A passion for data and a demonstrated drive to set and uphold standard methodologies for data management.
• Proven track record of effective project management and a customer focused mentality.
• Good interpersonal skills across various partner groups - Engineering, Data Analysts, Product Managers, Senior Management.
• Business proficiency and above in Chinese language to support Mandarin-speaking clients, and process Chinese documents.

We’d Love To See

• Working knowledge of shareholder filings and Equity Float and how they’re used by financial markets players.
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing.
• Experience designing optimal database structures.
• Experience working in an Agile development team.

If This Sounds Like You

Apply if you think we’re a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:

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Key skills/competency

• Data Engineering
• Python
• Data Modeling
• ETL
• Financial Markets
• Data Quality
• Project Management
• Shareholding Disclosures
• SQL
• Machine Learning