London
Post Date, 18/12/2024
Salary: - per annum
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 Global 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 platinum customer support to our clients.
Our Team: 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 esoteric (Credit Card, Auto, SLABS, 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 cash flow models are required, along with prepayment and credit assumptions, in order to price these securities accurately and support the rapidly growing markets.
What's the Role?
You will be creating cash flow models primarily for various private Asset Backed Finance deals (ABF), Asset Backed Securities (ABS) and Collateralized Loan Obligations (CLOs), with the potential to cover other asset sectors including Residential Mortgage Backed Securities (RMBS) and Commercial Mortgage Backed Securities (CMBS). As a Senior Data Management Professional Modeler, you will develop custom schemas to automate periodic factor, coupon, and collateral performance data extraction using innovative technology such as python, regex and SQLite. Proficiently maintaining, debugging and ensuring timely monthly cashflow projections is a key responsibility of all Modelers within the team. You will also work closely with our engineering teams and product teams to expand cashflow and data coverage. As part of our team, your input on technology will be critical to the development and growth of our product.
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