Senior Data Management Professional - Cashflow Modeler - Securitized Products

Description

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 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.

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
• 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

Qualifications

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.

Skills

• Reverse engineering and managing a large library of CLO cashflow models in a Python-based platform
• Communicating with lead managers and other clients to properly create, update, and validate cash flow models based on offering documents and preliminary information
• Maintaining, debugging, and ensuring timely monthly cashflow projections
• Working closely with our engineering teams and product teams to expand cashflow and data coverage
• Developing and maintaining 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
• Understanding customer needs and Securitized Products markets to ensure our dataset and processes are fit-for-purpose to provide ready to use information
• Absorbing and contributing to the development and growth of our product
• Assisting with the training and mentoring of junior team members

Benefits

Salary Range = 110,000 - 190,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others.

The Company does not provide benefits directly to contingent workers/contractors and interns.