Senior Data Management Professional - Data Quality - ForeignExchange Data, Singapore

Bloomberg runs on data. Our products are fuelled 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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products, and processes - all while providing customer support to our clients.

Our Team :

Our Foreign Exchange (FX) data team is seeking a Data Management Professional to integrate end user's needs into our overall data strategy and drive product quality. FX is primarily a pricing product, seeking to provide transparency into 180+ OTC markets and 65,000 unique pricing streams. As a team, we are responsible for managing FX quotes to reflect prevailing market price levels and provide users with an accurate and reliable source of truth for their use cases. Our product offering includes calculators, analytics and benchmark fixings for use in the Bloomberg Terminal and Enterprise products. We engage with the FX community to explore and validate new ideas. Multi-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 build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional focusing on quality, you will help build out effective data management solutions and promote practices to define, measure and manage data quality of our datasets. This includes applying industry standard methodologies to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs. In this role you will also be responsible for maintaining trusted relationships with internal partners such as product managers, engineers, and sales specialists. You will join a diverse 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 :

• Become a true domain expert in Foreign Exchange by demonstrating your understanding of the datasets and market conditions, and by acting as a trusted adviser to your network internally and externally
• Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and nurture organizational change around data quality as a domain of data management
• Perform data profiling and apply statistical methods to support data quality measurement
• Ensure our data is fit-for-purpose and ready-to-use by proactively reviewing the depth, timeliness and accuracy of datasets against user's expectations
• Be responsive, resourceful, flexible and an excellent collaborator - Partner with our Product, Technology and Data Management Lab team to ensure consistent principles are leveraged, data quality tools are fit for purpose, and results will be measurable
• Keep up with the industry trends, standards, and innovation in the data quality domain

You'll need to have :

We'd Love to See :

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 : https : / / www.bloomberg.com / professional .

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 prioritise candidates with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.