Vice President, Data Management & Quantitative Analysis
New York, NY, United States
Full Time Executive-level / Director USD 97K - 179K
BNY
BNY is a global financial services company overseeing nearly $50 trillion — managing it, moving it and keeping it safe.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 VP Data Management and Quantitative Analysis to join our Global Markets team. This role is located in New York, NY - HYBRID.
In this role, you’ll make an impact in the following ways:
- Experience in the securities lending industry
- Thorough knowledge of, and experience with, applied statistics
- Experience with sound research principles and practices
- Experience with a variety of data analysis tools and techniques
- Knowledge of data cleansing / enrichment / modeling techniques
- Ability to implement data quality control, validation, and linkage
- Ability to produce clear graphical representations and data visualizations
- Ability to maintain significant attention to detail while managing high priority workflows
- An appreciation for the principles of data governance and stewardship
- Basic knowledge of markets products and processes, ideally spanning multiple asset classes
- The ability to effectively communicate the results of analyses to a variety of stakeholders
To be successful in this role, we’re seeking the following:
- Bachelor’s degree (masters preferred) in a quantitative field (finance, data science, business information systems, physical sciences or mathematics/statistics)
- 5+ years of experience in financial services or fintech
- Experience in Python, SQL,Tableau, Excel preferred
At BNY Mellon, our inclusive culture speaks for itself. Here’s a few of our awards:
- Fortune World’s Most Admired Companies & Top 20 for Diversity and Inclusion, 2023
- Bloomberg’s Gender Equality Index (GEI), 2023
- Human Rights Campaign Foundation, Corporate Equality Index, 2023
- Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023
- Dow Jones Sustainability Indices, Top performing company for Sustainability, 2023
- Forbes Blockchain 50, 2023
Our Benefits:
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 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.
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $97,000 and $179,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNYM total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.
Tags: Blockchain Data analysis Data governance Data management Data quality Excel Finance FinTech Mathematics Python Research SQL Statistics Tableau
Perks/benefits: Career development Competitive pay Health care
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