Senior Data Management Professional - Cashflow Modeler - Securitized Products

Bloomberg•New York, NY

4d•$110,000 - $190,000•Onsite

About The Position

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. 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. The Securitized Products CLO team is responsible for creating and maintaining a large library of cash flow models and data for Broadly Syndicated, Middle Market and CRE CLOs. Our cash flow models are required, along with prepayment and credit assumptions, in order to price these securities accurately and support the expanding markets.

Requirements

BA/BS degree or higher in Finance or STEM with good technical skills
4+ years professional experience in cash flow modeling, preferably in the CLO market
Working knowledge of programming and data management fundamentals, including command-line environments, data modeling, algorithms, and AI-assisted development and productivity tools.
Demonstrated ability to apply AI technologies to address business challenges, automate tasks, optimize workflows, and deliver scalable solutions.
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

Nice To Haves

Strong understanding of the Securitized Products market and Bloomberg terminal functions
Prior experience with cashflow modeling and data analysis for CLOs
Strong knowledge of Python, Unix, JIRA.
Established relationships with key stakeholders within the CLO market
Knowledge of statistics and advanced data management practices

Responsibilities

Creating cash flow models primarily for various Collateralized Loan Obligations with the potential to cover other asset sectors including Agency Collateralized Mortgage Obligations (CMO), Residential Mortgage Backed Securities (RMBS), Asset Backed Securities (ABS) and Commercial Mortgage Backed Securities (CMBS).
Developing bespoke schemas to automate periodic factor, coupon, and collateral performance data extraction using cutting edge technology such as Python and Regex.
Maintaining, debugging and ensuring timely monthly cashflow projections.
Working closely with engineering teams and product teams to expand cashflow and data coverage.
Contributing input on technology and business insight to the development and growth of our product.
Reverse engineer and manage a large library of CLO 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 CLO coverage, and enhance modeling and testing capabilities.
Develop and maintain automated data extraction and processing solutions for deal, bond and collateral data, using Python, RegEx, and AI-enabled technologies to streamline operations, improve data quality, and support business-critical workflows.
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.