Vice President, CLO Modeling and Analytics

Vice President, CLO Modeling and Analytics (CLO/Structured Debt/Loans)

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We're seeking a future team member for the role of Vice President, CLO Modeling and Analytics to join our Corporate Trust Analytics team. In this critical role, you will leverage your expertise in structured credit and quantitative modeling to drive accuracy, efficiency, and actionable insights in CLO and loan analytics. This role is located out of our Houston, TX or Pittsburgh, PA office.

In this role, you will make an impact in the following ways:

• Develop, maintain, QC, and enhance CLO compliance and waterfall models, including detailed analysis of compliance tests, collateral quality tests, payment structures, cash flow mechanics, and concentration limits to ensure adherence to indenture provisions.
• Analyze and interpret complex legal documents such as CLO indentures, offering memoranda, and related transaction documents, providing comments and recommendations around modeling and analytical matters.
• Build and analyze investor reports and dashboards that detail noteholder distributions, asset-level information, and other key metrics, enabling timely and transparent communication with stakeholders.
• Utilize quantitative modeling techniques and predictive analytics to assess CLO portfolio performance, risk exposures, and valuation under various scenarios.
• Work with internal teams, client reference data, and other external data providers to integrate and validate datasets, ensuring high data integrity for model inputs and outputs.
• Perform statistical and trend analyses to identify model discrepancies, optimize performance, and implement enhancements to address issues in alignment with evolving market conditions and transaction structures.
• Support ad hoc reporting and analytics requests and contribute to strategic initiatives aimed at improving team capabilities and operational efficiencies.

To be successful in this role, we're seeking the following:

• Bachelor's or Master's degree in Finance, Economics, Mathematics, Financial Engineering, Data Science, Computer Science, or related quantitative discipline.
• 6-8+ years of experience in structured finance, corporate trust, CLOs, leveraged loans, or related credit products with a strong focus on quantitative modeling and analytics.
• Understanding of CLO transaction types such as new issue, refinancings, and resets and familiarity with related concepts like compliance tests, collateral quality tests, concentration limits, payment structures, and cash flow mechanics.
• Proficiency in programming languages such as Python, R, and/or SQL for coding payment rules, automating workflows, and building robust analytical tools.
• Experience in quantitative finance and technology preferred with advanced skills in MS Excel (including macros, advanced functions, and data manipulation), SharePoint, and dashboarding platforms to develop dynamic reports and visualizations.
• Strong analytical mindset and problem-solving skills with demonstrated ability to apply quantitative techniques and predictive analytics to structured credit products.
• Strategic thinker with excellent communication skills and the ability to translate complex concepts into clear insights for diverse audiences.
• Maintain a high level of accuracy and attention to detail to ensure the integrity of financial models and reports.
• Familiarity with warehouse facilities, CFOs, multi-currency transactions, and other specialized CDO products is a plus.

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Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.