Loans

BNY Mellon•Houston, TX

3d•$59,000 - $102,000•Onsite

About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Specialist, CLO Modeling and Analytics to join our Corporate Trust Analytics team. In this critical role, you will leverage your background and skillset to drive accuracy, efficiency, and actionable insights in CLO and loan analytics. This role is located out of our Houston, TX office.

Requirements

Bachelor’s degree in Finance, Economics, Mathematics, Financial Engineering, Data Science, Computer Science, or related quantitative discipline or the equivalent combination of education and experience.
3-5 years of experience in financial data analysis, structured finance, corporate trust, CLOs, leveraged loans, or related products with a strong focus on quantitative modeling and analytics.
Basic understanding of CLO products and transaction types such as new issue, refinancings, and resets and familiarity with related concepts.
Proficiency in programming languages such as VBA, Python, R, and/or SQL for coding payment rules, automating workflows, and building robust analytical tools.
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.

Nice To Haves

Experience in quantitative finance and technology preferred with advanced skills in MS Excel (including macros, advanced functions, and data manipulation), SharePoint, Alteryx, Power BI, or other platforms to develop dynamic reports, analytics, and visualizations.

Responsibilities

Develop, maintain, QC, and enhance CLO compliance and waterfall models, including detailed analysis of coverage tests, collateral quality tests, concentration limits, payment structures, and cash flow mechanics 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 compliance tests, noteholder distributions, asset-level information, and other key metrics, enabling timely and transparent communication with stakeholders.
Utilize quantitative modeling techniques and predictive analytics to calculate and 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.
Collaborate with cross-functional teams to align on transaction requirements and support ad hoc reporting and analytics requests.
Champion continuous improvement and data-driven innovation by identifying opportunities for automation and efficiency and supporting strategic initiatives aimed at enhancing team capabilities.