Senior Associate, Data Scientist

SENIOR ASSOCIATE, DATA SCIENCE

Bring your ideas. Make history.

BNY Mellon offers an exciting array of future-forward careers at the intersection of business, finance, and technology. We are one of the world's top asset management and banking firms that manages trillions of dollars in assets, custody and/or administration. Known as the "bank of banks" - 97% of the world's top banks work with us as we lead and serve our customers into the new era of digital.

With 240 years of rich history and industry firsts, BNY Mellon has been built upon our proven ability to evolve, lead, and drive new ideas at every turn. Today, we're approximately 50,000 employees across 35 countries with a culture that empowers you to grow, take risks, experiment and be yourself. This is what #LifeAtBNYMellon is all about.

We're seeking a future team member for the role of Senior Associate, Data Science to join our Artificial Intelligence (AI) Hub team. This role is located in Pittsburgh, PA.

In this role, you'll make an impact in the following ways:

• Define, create and maintain analytics digitally modeling business opportunities through the use of information and advanced algorithms. Conduct studies to provide additional facts needed to make informed decisions for organizational and functional business opportunities.
• Communicate effectively with technical and business staff. Develop reports, and prepare and deliver both informational and decision-seeking presentations.
• Stay abreast of organization and management changes and maintain in-depth knowledge of company practices relevant to data science products.
• Maintain knowledge of company's total computing environment and planned changes in order to develop meaningful data science products.
• Monitor industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy. Stay abreast of technology innovations and trends. May recommend areas for improvement. Promote adoption of AI tools and platforms.
• Grow and develop skills across the 3 domain specialties: model science, feature science and Insight science capabilities. Stressing expertise in the core functional areas: Computer Programming, Math & Analytics Methodology, Distributed computing and communications of complex results.

To be successful in this role, we're seeking the following:

• Bachelor's degree in STEM degrees, or equivalent work experience with experience preferred in related fields.
• 2-3 years of related experience required.
• Experience in the securities or financial services industry is a plus.

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 Mellon 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 Mellon is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans.

Our ambition is to build the best global team - one that is representative and inclusive of the diverse talent, clients and communities we work with and serve - and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.