Senior Vice President, Data Scientist

Senior Vice President, Data Scientist 

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 Senior Vice President, Data Scientist to join our Clearing Markets Treasury Engineering team. This role is located in Pittsburgh, PA or Lake Mary, FL, and will work a Hybrid schedule. 

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

• Apply advanced machine learning and deep learning techniques to solve complex problems and generate insights from data.


• Develop, test, and deploy scalable and robust AI models and pipelines using various frameworks and tools.


• Collaborate with cross-functional teams of engineers, product managers, and domain experts to understand the business needs and deliver high-quality solutions.


• Communicate the results and implications of the AI projects to both technical and non-technical stakeholders.


• Stay updated with the latest research and trends in AI and related fields.


• Accountable for developing and guiding more junior members and communicating findings, approaches, and insights from data products. 


• Provides technical and organizational leadership across multiple areas the organizational and functional effectiveness of data science products. 

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

• Advanced degree in STEM engineering degrees, or equivalent work experience with experience preferred in related fields. 


• 10 - 12 years of related experience required; experience in the securities or financial services industry is a plus.


• Strong Programming Skills: Proficiency in programming languages such as Python, R, and SQL is essential. 


• Statistical and Mathematical Knowledge: A solid understanding of statistics, probability, and linear algebra is important. 


• Machine Learning and Deep Learning Expertise: Familiarity with machine learning frameworks (like TensorFlow, PyTorch, and scikit-learn and many others) and deep learning techniques is important. This includes knowledge of various algorithms, model evaluation, and tuningProficient in data analysis, manipulation, and visualization using tools such as Pandas, NumPy, Scikit-learn, Matplotlib, or similar.


• Excellent communication, presentation, and teamwork skills.


• Ability to work independently and creatively in a fast-paced environment.

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