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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

The Global Securitized Products Data Team is responsible for researching and supporting a $12 trillion global securitized product market. The securitized product market uses financial engineering to transform a variety of assets (residential and commercial mortgages, auto and equipment leases, managed corporate loan portfolios, credit card debt, and even music royalties) into securities that are structured to meet nearly any investor appetite. Our team supports the full data lifecycle and analytical capabilities, through reverse financial engineering, of all securitized products globally for Bloomberg.

The Securitized Products EMEA CLO & ABS team is responsible for creating and maintaining a large library of cash flow models and data for Public and Private Asset Backed Securities (ABS) including esoterics (Credit Card, Auto, Data Centre, Solar) and Collateralized Loan Obligations (CLOs). The team is responsible for the full stack of work involved in handling these asset sectors, including new issuance and bond data, collateral performance data, cashflow modeling, periodic cashflow and collateral reconciliation, customer support, and client engagement. Our bond data, collateral performance data, and cash flow models are required, along with prepayment and credit assumptions, in order to price these securities accurately and support the expanding markets.

You will play a key role in maintaining and enhancing the team’s workflows across the EMEA ABS and CLO product areas. You will partner with clients and external market experts to develop, refine, and validate financial and predictive models, ensuring analytical outputs are robust, scalable, and aligned with client needs.

Leveraging strong expertise in data management and data modelling frameworks, you will contribute to the design and continuous improvement of data quality control frameworks and core data processes. You will help ensure the integrity, consistency, and reliability of our analytics and underlying datasets.

Working closely with internal stakeholders across Product and Engineering, as well as directly with clients, you will develop a deep understanding of market workflows and analytical requirements. You will translate these insights into enhancements to our product offering and provide subject-matter support on advanced risk analytics and valuations.

In collaboration with Engineering, you will contribute to the design and implementation of financial and predictive models, core analytical calculations, ETL processes, and client-facing data and analytics solutions.