Vice President, Data Management & Quantitative Analysis II
Houston, TX, United States
BNY
BNY is a global financial services company overseeing more than $53 trillion — managing it, moving it and keeping it safe.Vice President, Data Management & Quantitative Analysis II
At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.
We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.
We’re seeking a future team member for the role of Vice President, Data Management & Quantitative Analysis II to join our Structured Debt team. This role is a hybrid work schedule (4 days a week in office) located out of our Houston, TX office.
In this role, you’ll make an impact in the following ways:
- Work with internal and external datasets and client reference data and provide analysis in the development of financial/tax models for analyzing asset performance, securities data, or other structured finance related sophisticated concepts.
- Interpret legal verbiage found in securitization documents and translate it into the mathematics and the economics of the transaction through a cash-flow waterfall/tax model.
- Code payment and tax reporting rules using programming languages such as Python and Visual Basic.
- No formal supervisory responsibility but provide guidance to and review the reports and calculations of junior analysts as well as translate complex technical concepts and analyses to non-technical audiences.
- Apply techniques such as SQL and querying and macro development to extract data for populating models and user defined tools.
- Work in a high-intense and fast paced environment.
To be successful in this role, we’re seeking the following:
- Bachelor’s degree or the equivalent. Advance degree in qualitative analysis preferred.
- 7-10 years of experience preferred with 4+ years of work experience in asset-backed securities (RMBS, ABS (Esoteric and Traditional, RESEC, CMBS, MILN, ETC.) preferred.
- Knowledge in Bond Mathematics and Tax Reporting concepts preferred.
- Experience coding in Python and Visual Basic and development of database queries.
- Experience with Access and other database applications.
At BNY, our culture speaks for itself. Here’s a few of our awards:
- America’s Most Innovative Companies, Fortune, 2024
- World’s Most Admired Companies, Fortune 2024
- Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
- Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
- “Most Just Companies”, Just Capital and CNBC, 2024
- Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
- Bloomberg’s Gender Equality Index (GEI), 2023
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data management Economics Finance Mathematics Python SQL
Perks/benefits: Competitive pay Flex hours Health care
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.