Senior Data Management Professional - Cashflow Modeler - Securitized Products
Tech Stack
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About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Algorithms @ 4
Communication @ 6
Data Analysis @ 4
Data Modeling @ 4
Jira @ 7
Mentoring
Python @ 7
Statistics @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg's Data organization delivers data, news, and analytics through innovative technology. The Global Securitized Products Data Team researches and supports the global securitized products market, managing the full data lifecycle and analytical capabilities of securitized products.
The Securitized Products CLO team creates and maintains a large library of cash flow models and data for Broadly Syndicated, Middle Market, and CRE CLOs. These models, together with prepayment and credit assumptions, support accurate securities pricing and expanding market coverage.
Responsibilities
- Create cash flow models primarily for various Collateralized Loan Obligations, with potential coverage of Agency Collateralized Mortgage Obligations, Residential Mortgage-Backed Securities, Asset-Backed Securities, and Commercial Mortgage-Backed Securities.
- Reverse engineer and manage a large library of CLO cash flow models in a Python-based platform.
- Develop bespoke schemas to automate periodic factor, coupon, and collateral performance data extraction using Python and Regex.
- Maintain, debug, and ensure the timely delivery of monthly cash flow projections.
- Communicate with lead managers and other clients to create, update, and validate cash flow models based on offering documents and preliminary information.
- Ensure consistency, quality, and timely product delivery while providing service to internal and external customers.
- Liaise with Business Managers, Engineering, Trustees, and Lead Managers to develop the cash flow 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.
- Use automation and data quality practices to streamline operations, improve data quality, and support business-critical workflows.
- Understand customer needs and securitized products markets to ensure datasets and processes are fit for purpose.
- Assist with training and mentoring junior team members.
Requirements
- Bachelor's degree or higher in Finance or a STEM discipline, with good technical skills.
- At least 4 years of 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 multitask in a fast-paced environment.
- Ability to work independently and in a team environment.
Preferred Qualifications
- Strong understanding of the securitized products market and Bloomberg Terminal functions.
- Prior experience with cash flow modeling and data analysis for CLOs.
- Strong knowledge of Python, Unix, and JIRA.
- Established relationships with key stakeholders within the CLO market.
- Knowledge of statistics and advanced data management practices.
Benefits
Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs. Salary is $110,000–$190,000 USD annually, plus benefits and bonus.