2027 BNY Analyst Program - Engineering (Data Science) - New York, NY

2027 BNY Analyst Program – Engineering (Data Science)

The 2027 BNY Analyst Program - Engineering (Data Science) provides high-potential students with a well-rounded, rewarding rotational experience with engaging Agile Projects while providing first-hand knowledge of our culture, people, business, and impact within the marketplace. 2027 BNY Analyst Program - Engineering (Data Science) analysts will participate in a robust technical experience in JavaScript, Python, CSS, Java, and more.  

What you will do

• Apply data science and analytical methods to solve real business and engineering problems.
• Analyze data, perform profiling and feature engineering, and identify patterns, trends, and anomalies.
• Build and automate analytical processes, models, and tools that improve decision-making and efficiency.
• Partner with teams across engineering and the business to turn data insights into practical recommendations.  
   

Skills you will build

• Data analysis, feature engineering, and advanced analytics techniques.
• Programming skills across tools and languages such as Python, JavaScript, Java, and related technologies.
• Statistical thinking, problem-solving, and the ability to communicate complex results clearly.
• Exposure to machine learning, distributed computing, and scalable data-driven solutions.  
   

Impact you will have at BNY  

• Help teams better understand business outcomes through data-driven insight and analysis.
• Contribute to solutions that improve processes, uncover opportunities, and support smarter decisions.
• Support the development of analytical capabilities that strengthen products, platforms, and operations.
• See how data science can drive meaningful impact at a global financial services leader.
   

Why this could be a fit for you  

• This role is a strong fit if you enjoy using data to solve complex problems and uncover insights.
• You are excited by programming, analytics, and building practical solutions that can scale.
• You like combining technical skills with business thinking to influence outcomes.

Analyst Program  
Our 24-month rotational Analyst Program is designed to set you up for success from day one. New joiners take part in a structured induction experience to help them assimilate into BNY, learn about the organization, connect with peers and leaders, and build the core skills needed to navigate their early career with confidence.

From day one, analysts are immersed in BNY's collaborative and innovative culture through:  

• Enterprise-wide onboarding and development programming, including an in person immersive induction experience, executive speaker series, skill development, and networking opportunities.  
• Meaningful project work aligned to key business practices and platforms, providing hands-on experience, skill development, and real-world business impact.  
• Structured mentorship and career support from managers, senior leaders, peer mentors, business stakeholders, and dedicated program managers.  
• Exposure across practices, platforms, and teams, building a broad understanding of BNY's integrated business model.  
• Professional, technical, and financial services training designed to strengthen business acumen and prepare participants for long-term career success.  
• A premier early-career experience, backed by senior leadership and designed to develop the next generation of talent for BNY's global workforce.  
   

Program eligibility:  

• Enrollment in a 4-year undergraduate degree program with a strong focus on business-related and/or technology-related majors preferred  
• Graduating in Dec 2026 or May 2027 (U.S.)  
• Minimum cumulative GPA of 3.0 or better    
• Does not require sponsorship for employment visa status (now or in the future) in the country where applying.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $52,000 and $110,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company- sponsored benefit programs.

This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team. 

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.

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.