Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to better manage our data.
Our Team:
Our Listed Derivatives data team is seeking a Data Engineer to help us drive the data set forward. The team provides our users with complete and accurate, normalized security listings and reference data for tens of millions of securities across more than 100 Derivatives exchanges globally. Cross-functional collaboration, deep domain knowledge, thoughtful automation, and data management expertise are paramount for our ability to continuously deliver high quality data to our rapidly growing client 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 Derivatives data for our clients and improve data operations. You will be a technical leader in the distributed team, solving problems with technical skills and devising solutions for data challenges. You will set strategy for quality enhancements of Derivatives reference 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 significant impact on the team’s success.
We’ll trust you to:
- Build and maintain robust and scalable ETL 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, Microservices, SQL, Python Pandas
- Devise data quality strategies across various data workflows and oversee its governance
- Devise and implement data acquisition strategies for data fields from diverse and disparate, structured and unstructured sources
- Set up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of derivatives 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 process engineer efficient and innovative workflows using programmatic machine learning approaches
- Use your deep understanding of listed derivatives markets and data, including trading and analytics workflows, to create comprehensive and transparent solutions that fits the use case of our internal and external clients
- Understand clients' and markets' needs on each derivative 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 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:
- 3+ years of Python programming experience in a production environment
- 3+ years of experience in data management and experience in building ETL pipelines
- Proven financials markets experience with a broad understanding of global markets
- A bachelor of arts/bachelors of science degree or higher in Computer Science, Mathematics, or relevant data technology field, or degree-equivalent qualifications
- Experience related to ingesting and normalizing exchange disseminated derivatives data
- Proficient in using Tech Stack such as Amazon S3, Python Microservices or Bloomberg Tech Stack in 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
- Fluency in both written and spoken English
- Demonstrated continuous career growth within an organisation
We'd love to see:
- Data Management Association Certified Data Management Professional, Data Capability Assessment Model certification
- Knowledge of Derivatives instruments and their uses
Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritize candidates with legal authorization to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.
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: http://www.bloomberg.com/professional
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