Senior Specialist, Loans Modeling & Analytics - Structured Debt/CLO

Job Description Senior Specialist, Loans Modeling and Analytics (Structured Debt/CLO) At BNY, our culture values growth and success for employees. We influence nearly 20% of the world’s investible assets and use cutting‑edge AI to transform financial services. This role is part of the Corporate Trust Analytics team and will be based in Houston, TX or Pittsburgh, PA. Responsibilities Develop, maintain, QC, and enhance CLO compliance and waterfall models, including coverage tests, collateral quality tests, concentration limits, payment structures, and cash flow mechanics. Analyze complex legal documents such as CLO indentures, offering memoranda, and related transaction documents, providing modeling and analytical commentary. Build and analyze investor reports and dashboards that detail compliance tests, noteholder distributions, asset‑level information, and key metrics. Apply quantitative modeling techniques and predictive analytics to calculate and assess CLO portfolio performance, risk exposures, and stress test scenarios. Integrate and validate datasets with internal teams, client reference data, and external data providers to ensure high data integrity for model inputs and outputs. Perform statistical and trend analyses to identify model discrepancies, optimize performance, and implement enhancements aligned with market conditions and transaction structures. Collaborate with cross‑functional teams to align on transaction requirements and support ad hoc reporting and analytics requests. Identify opportunities for automation and efficiency, support strategic initiatives, and champion continuous improvement. Mentor junior team members, fostering a culture of learning within the analytics team. Qualifications Bachelor’s degree in Finance, Economics, Mathematics, Financial Engineering, Data Science, Computer Science, or related quantitative discipline (or equivalent experience). 3‑5 years of experience in financial data analysis, structured finance, corporate trust, CLOs, or leveraged loans with a strong focus on quantitative modeling and analytics. Basic understanding of CLO and loan products and transaction types such as new issue, refinancings, and resets. Proficiency in programming languages such as VBA, Python, R, and/or SQL for coding payment rules, automating workflows, and building analytical tools. Experience with MS Excel (macros, advanced functions, data manipulation), SharePoint, Alteryx, Power BI, or similar platforms to develop dynamic reports and visualizations. Strong analytical mindset, problem‑solving skills, and ability to apply quantitative techniques and predictive analytics to structured credit products. Strategic thinker with excellent communication skills and ability to translate complex concepts into clear insights for diverse audiences. High level of accuracy and attention to detail to ensure integrity of financial models and reports. Benefits and EEO BNY offers a competitive compensation package and a comprehensive benefits plan, including health, dental, vision, life insurance, a 401(k) plan, and generous paid leave. Employees also receive paid volunteer time. BNY is an Equal Employment Opportunity/Affirmative Action Employer, committed to fostering a diverse workplace. #J-18808-Ljbffr BNY