Senior Data Management Professional - Data Quality - Loans

Senior Data Management Professional - Data Quality - Loans

Location
London

Business Area
Data

Ref #
10045233

Description & Requirements

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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Team:

Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.

What's the role?

We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.

That means:

Transforming how we manage the quality of our datasets, by applying industry best practices 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
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group

We'll trust you to:

• Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
• Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
• Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
• Perform data profiling and apply statistical methods to support data quality measurements
• Optimally and proactively connect with partners and senior management
• Keep up with the industry trends, standards, and innovation in the Data Quality domain

You'll need to have:

• 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
• Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
• Understanding of ETL processes and broader data workflow engineering concepts
• Up-to-date knowledge of events taking place in the financial markets
• Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
• Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills

We'd love to see:

• DAMA CDMP or DCAM certifications
• Familiarity with Corporate Actions, Loans, Corporate Bonds
• Project Management experience developed in a matrixed partner environment and cross-regional business

Does this sound 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.