Senior Product Owner, POM

Jobtailor

Pennsylvania

On-site

USD 120,000 - 180,000

Full time

8 days ago

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Job summary

Jobtailor in United States, Pennsylvania is seeking a senior CLO/structured finance modeling professional to lead and enhance compliance, cash-flow modeling, and reporting processes.

You will build and stress test models, analyze indentures and deal documentation, and translate complex struct language into analytics and dashboards for stakeholders across finance, analytics, and technology teams.

Qualifications

Bachelor’s degree in a quantitative field or equivalent experience.
3–5 years in financial modeling, structured finance, CLOs, or analytics.
Strong CLO/structured debt knowledge and financial modeling experience.
Experience building models and data-driven workflows in controlled environments.
Proficiency in Python, SQL, VBA, or R; advanced Excel skills.
Experience with Power BI, Alteryx, SharePoint or similar tools.
Ability to analyze large datasets and translate data into insights.
Excellent communication, problem-solving, and attention to detail.

Responsibilities

Develop, maintain, quality check, and enhance CLO compliance and waterfall models
Program and analyze collateral quality tests, coverage tests, concentration limits, payment structures, and cash flow mechanics
Analyze CLO indentures, offering memoranda, and related deal documentation
Translate structural language into modeling logic, analytics requirements, and reporting outputs
Build, review, and enhance investor reports, dashboards, and analytics
Cover compliance tests, noteholder distributions, asset-level information, and transaction metrics
Apply quantitative modeling, data analysis, and scenario-based thinking to stress test transactions
Evaluate portfolio behavior, structural performance, and model outcomes across CLO transactions
Source, integrate, and validate critical datasets with internal teams and data providers
Perform reviews, reconciliations, and trend analyses to identify modeling issues and strengthen controls
Contribute to transformation of the CLO/loans modeling platform
Support agentic and AI-enabled capabilities for document ingestion, clause analysis, data extraction, model setup, model QC, and exception identification
Collaborate across business, analytics, technology, and operations teams
Deliver process improvements, solve transaction challenges, support modernization initiatives, and handle ad-hoc client requests
Mentor junior team members

Skills

Financial Modeling

CLO Compliance

Data Analysis

Python

SQL

Advanced Excel

Power BI

Alteryx

SharePoint

Root-Cause Analysis

Scenario-Based Thinking

Trend Analysis

VBA

Cash Flow Mechanics

Education

Bachelor’s degree in Finance/ Economics/ Mathematics/ Statistics/ Data Science/ CS

Tools

Python

SQL

VBA

Power BI

Alteryx

SharePoint

Job description

Develop, maintain, quality check, and enhance CLO compliance and waterfall models
Program and analyze collateral quality tests, coverage tests, concentration limits, payment structures, and cash flow mechanics
Analyze CLO indentures, offering memoranda, and related deal documentation
Translate structural language into modeling logic, analytics requirements, and reporting outputs
Build, review, and enhance investor reports, dashboards, and analytics
Cover compliance tests, noteholder distributions, asset-level information, and transaction metrics
Apply quantitative modeling, data analysis, and scenario-based thinking to stress test transactions
Evaluate portfolio behavior, structural performance, and model outcomes across CLO transactions
Source, integrate, and validate critical datasets with internal teams and data providers
Perform reviews, reconciliations, and trend analyses to identify modeling issues and strengthen controls
Contribute to transformation of the CLO/loans modeling platform
Support agentic and AI-enabled capabilities for document ingestion, clause analysis, data extraction, model setup, model QC, and exception identification
Collaborate across business, analytics, technology, and operations teams
Deliver process improvements, solve transaction challenges, support modernization initiatives, and handle ad-hoc client requests
Mentor junior team members

Requirements

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Financial Engineering, Data Science, Computer Science, or another highly quantitative discipline, or the equivalent combination of education and experience
3–5 years of experience in financial modeling, structured finance, leveraged loans, CLOs, corporate trust analytics, data science, or related quantitative/analytical roles
Strong interest in or knowledge of CLOs, loans, structured debt products, transaction types, and related concepts
Experience building or supporting financial models, analytical tools, or data-driven workflows in a controlled business environment
Proficiency in one or more programming or analytical languages/tools such as Python, SQL, VBA, R, or similar technologies
Advanced Excel skills
Experience with analytics, workflow, or visualization platforms such as Power BI, Alteryx, SharePoint, or similar tools
Ability to work with large and complex datasets, perform root-cause analysis, and translate data into business and analytical insight
Strong problem-solving, intellectual curiosity, and attention to detail
Excellent written and verbal communication skills
Mindset oriented toward innovation, modernization, and continuous improvement
Enthusiasm for transforming structured credit analytics through technology and AI-enabled solutions

Core Competencies

Demonstrates expertise in financial modeling, structured finance, and data analysis, with a strong focus on CLOs and related structured debt products. Proficient in programming languages and analytical tools to enhance compliance and reporting processes while driving innovation in credit analytics.

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