Senior Data Management Professional

2 weeks ago

New York, United States Bloomberg Full time
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 ABS team is responsible for creating and maintaining a large library of cash flow models and data for Public and Private Asset Backed Securities including esoterics (Credit Card, Auto, SLABS, Solar). Our cash flow models are required, along with prepayment and credit assumptions, in order to price these securities accurately and support the expanding markets.

What's the Role?

You will be creating cash flow models primarily for various Asset Backed Securities including esoterics (Credit Card, Auto, SLABS, Solar) with the potential to cover other asset sectors including Agency Collateralized Mortgage Obligations (CMO), Residential Mortgage Backed Securities (RMBS), Collateralized Loan Obligations (CLO) and Commercial Mortgage Backed Securities (CMBS). As a Senior Data Management Professional ABS Modeler, you will develop bespoke schemas to automate periodic factor, coupon, and collateral performance data extraction using cutting edge technology such as python, regex and SQLite. Proficiently maintaining, debugging and ensuring timely monthly cashflow projections is a key responsibility of all ABS 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 crucial to the development and growth of our product.

We'll trust you to:
  • Reverse engineer and manage a large library of ABS cashflow models in a python-based platform
  • Communicate with lead managers and other clients to properly create, update, and validate cash flow models based on offering documents and preliminary information
  • Ensure consistency, quality and timely product delivery while providing excellent service to internal and external customers
  • Liaise with Business Managers, Engineering, Trustees, and Lead Managers regularly to further develop the cashflow model engine, expand ABS coverage, and enhance modeling and testing capabilities
  • Develop and maintain bespoke data extractors to automate periodic bond and collateral data collection using cutting edge technology such as python, regex and SQLite
  • Understand customer needs and Securitized Products markets to ensure our dataset and processes are fit-for-purpose to provide ready to use information
  • Assist with the training and mentoring of junior team members

You'll need to have:
  • BA/BS degree or higher in Finance or STEM with good technical skills
  • 4+ years professional experience in cash flow modeling, preferable in the ABS market
  • Familiarity with basic computer programming and data management concepts, including command line interfaces, data modeling and algorithms
  • Excellent communication, analytical, and problem-solving skills.
  • Strong time management skills and the ability to multi-task in a fast-paced environment
  • Ability to work independently as well as in a team environment

We'd love to see:
  • Strong understanding of the Securitized Products market and Bloomberg terminal functions
  • Prior experience with cashflow modeling and data analysis for Esoteric Assets (Container/Railcar, Aircraft, or Data Centers)
  • Strong knowledge of Python, Unix, JIRA
  • Established relationships with key stakeholders within the ABS market
  • Knowledge of statistics and advanced data management practices

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

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