Vice President, Data Management & Quantitative Analysis I at BNY

Houston, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Quantitative Analysis, Statistical Modeling, Financial Analysis, Econometric Models, SQL, Programming, Risk Exposure, Data Modeling, Analytical Project Management, Reporting, Technical Translation, Client Reference Data, Algorithm Development, Securities Data, Derivatives Pricing

Industry

Financial Services

Description

Vice President, Data Management & Quantitative Analysis I 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 and champions of inclusion, 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 Vice President, Data Management & Quantitative Analysis I to join our Structured Debt Client Platform team. This role is located in Houston, TX. In this role, you'll make an impact in the following ways: Independently work with internal and external datasets and client reference data and participate in the development of statistical, financial and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure or other sophisticated concepts. Provide analytical project management support for assigned area and support with advanced, complex statistical and quantitative analyses with minimal guidance. Lead data modeling and quantitative analysis projects, serve as a resource to less experienced colleagues, and contribute to the development of techniques and methodologies for each type of activity/analysis. Interpret findings, prepare standard and ad-hoc reports, deliver results to management and other leaders, and translate complex technical concepts and analyses to non-technical audiences. To be successful in this role, we're seeking the following: Bachelor's degree or the equivalent combination of education and experience; advanced degree in quantitative analysis preferred. 5-7 years of experience preferred. Experience in quantitative finance and technology preferred. Strong skills in SQL, querying, macro development, and familiarity with programming or system configuration to set up sophisticated models or algorithms. No direct reports; provides guidance to more junior analysts and is primarily responsible for the accuracy and quality of own work and the work of assigned project team members. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 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. Independently works with internal and external datasets and client reference data and participates in the development of statistical, financial and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure or other sophisticated concepts. Provides analytical project management support for assigned area.With minimal guidance, supports assigned area with advanced, complex statistical and quantitative analyses. Contributes to the development of the techniques and methodologies to be used for each type of activity/analysis. Leads data modeling and quantitative analysis projects and serves as resource to less experienced colleagues.Uses technology tools to conduct analyses. Applies techniques such as SQL and querying and macro development to extract data for populating models. As an advanced user, may do some light programming or system configuration in order set up sophisticated models or algorithms. Understands the relevant processes and products in assigned area and which analyses, methodologies and approaches best support assessment of performance, risk, or valuation. Begins to lead complex projects in support of new or evolving processes/products.Interprets findings, prepares standard and ad-hoc reports and delivers results to management and/or other leaders. Provides recommendations for addressing observed outcomes. Translates complex technical concepts and analyses to non-technical audiences.Reviews accuracy of reports and calculations performed by less experienced colleagues.No direct reports. Provides guidance to more junior analysts. Primarily responsible for the accuracy and quality of own work and the work of assigned project team members. Work contributes to the achievement of area goals.Bachelors degree or the equivalent combination of education and experience. Advanced degree in quantitative analysis preferred.5-7 years experience preferred. Experience in quantitative finance and technology preferred.

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Responsibilities

The Vice President will independently work with datasets and develop statistical models for analyzing asset performance and risk exposure. They will lead data modeling projects and provide guidance to junior analysts while preparing reports and delivering results to management.