Senior Associate, Data Scientist

at  BNY Mellon

Overview
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 Associate, Data Scientist to join our Wealth Management Engineering team. This role is located in Chicago, IL - Hybrid, 3 Days a Week

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.
Defines, creates, and maintains analytics digitally modelling business opportunities using information and advanced algorithms. Communicates effectively with technical and business staff. Develops reports and prepares and delivers both informational and decision-seeking presentations. Stays abreast of organization and management changes and has in-depth knowledge of company practices relevant to data science products. Maintains knowledge of company’s total computing environment and planned changes to develop meaningful data science products. Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy. Stays abreast of technology innovations and trends. May recommend areas for improvement. 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. Contributes to the achievement of related teams’ objectives.
Modified based upon local regulations/requirements. Bachelor’s degree in STEM degrees, or equivalent work experience with experience preferred in related fields. 2-3 years and Bachelor’s degree in STEM programs with years of related experience required; experience in the securities or financial services industry is a plus.
BNY 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.

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:

Deliver on increasing complex analytics working with a cross functional team to deliver data products in line with business needs.
Collects, analyses and communicate data insights from internal and external data sources and deliver insights within standard framework that can be leverages to deliver business value.
Leverages simple to advanced data techniques to support making decisions from data with limited guidance. Responsible for data projects from inception to delivery partnering with functional and subject matter experts.
Conducts studies to provide additional facts needed to make informed decisions for organizational and functional business opportunities.

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 years of in Data Science or related Data Quality experience required
Experience in the securities or financial services industry is a plus.
Expertise in the core functional areas: Computer Programming, Math & Analytics Methodology, Distributed computing, and communications of complex results.
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