Data Scientist

at  BNY Mellon

DATA SCIENTIST

Note: This is a pipeline requisition and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential Third-Party Governance openings based upon your background and disclosed work preference.
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 Data Scientist to join our Clearing Markets Treasury Engineering team. This role is located in Pittsburgh, PA and Lake Mary, FL, and will work a Hybrid schedule (3 days per week in-office required) . Candidate must reside within a commutable distance to this work location, as we are unable to accommodate 100% virtual work arrangements.

EMPLOYER DESCRIPTION:

For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments and safeguards nearly one-fifth of the world’s financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It’s the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

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.

ADDITIONAL RESPONSIBILITIES:

Conducts studies to provide additional facts needed to make informed decisions about organizational and functional effectiveness with data decisioning.
Develops consultative partnerships with internal teams to understand their strategic objectives, key performance indicators and reporting requirements.
Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy.
Grow and develop skills across the 3 domain specialties: model science, feature science and Insight science capabilities.
Prior working knowledge of: Computer Programming, Math & Analytics Methodology, machine learning algorithms/frameworks, big data technologies, Distributed computing, and communications of complex results.
Establishes relationships to obtain data and subject knowledge needed to support advanced analytics.
Extracts business insights to guide direction of learning activities and drive organizational efficiencies, effectiveness, and outcomes.
Stays abreast of technology innovations and trends and identifies areas of improvement across BNY Mellon
Collaborates with and supports leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results.

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.
4-9 years of related experience required; experience in the securities or financial services industry is a plus.
At least 2 years of experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, or similar frameworks.
Strong knowledge of machine learning and deep learning concepts, algorithms, and best practices.
Proficient in data analysis, manipulation, and visualization using tools such as Pandas, NumPy, Scikit-learn, Matplotlib, or similar.
Experience in working with various data sources and formats, such as structured, unstructured, text, image, video, audio, etc.
Excellent communication, presentation, and teamwork skills.
Ability to work independently and creatively in a fast-paced environment.
Passion for learning new technologies and solving challenging problems.
Knowledge of development processes/lifecycle management for large language models
Add to qualifications: Knowledge and understanding for leveraging: Predictive Analytics, Automation, Anomaly Detection/Risk Management, and Generative AI (GenAI)
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