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.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what it’s all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of 2026 Analyst Program to join our Engineering team. This role is located in Wroclaw, Poland.

BNY Analyst Program

Our 24-month analyst program is a holistic talent development journey offering rotational experiences designed to prepare you for your future career.

Through projects across the specific line of business, you will receive a panoramic view of BNY’s entire global franchise, providing rare insight into the operation of one of the worlds largest banks. In each of these roles, you will work on high-priority initiatives and develop a comprehensive set of analytical and interpersonal skills. As part of a highly selective program, you will gain unparalleled exposure to the senior leadership of BNY and its clients, while receiving personalized guidance and support from a peer mentor. Upon successful completion of the program, you will be considered for high impact roles in multiple functions.

Engineering

The 2026 BNY Analyst Program - Engineering (Data Science) provides a well-rounded, rewarding experience with engaging Agile Projects while providing first-hand knowledge of our culture, people, business, and impact within the marketplace. 2026 BNY Analyst Program - Engineering (Data Science) graduates will participate in a robust technical experience in JavaScript, Python, CSS, Java, and more.

Data Science

• Apply scientific methods to find solutions to real business problems.
• Perform data analysis, feature engineering, and advanced methods to prepare and develop decisions based on data.
• Data mining using state-of-the-art methods
• Provide insight into observed business outcomes through analytics.
• Perform data profiling to identify and understand anomalies in data.
• Automate data analysis and streamline analytical processes
• Provide recommendations based on data trends uncovered when possible
• Stays abreast of organization and management changes and has in-depth knowledge of company practices relevant to data science products.
• Grow and develop skills across the 3 domain specialties: Machine Learning, Feature Engineering and Advanced Analytics capabilities. Stressing expertise in the core functional areas: Computer Programming, Math & Analytic Methodology, Distributed computing, and communications of complex results.

Program Eligibility

• Must be enrolled in an accredited university/college pursuing a bachelors degree or in a 4+1 program in computer science/engineering or a related technology discipline
• Well-rounded experience including demonstrated leadership skills
• Excellent written and oral communication skills
• Graduating in Dec 2025 or May 2026
• Does not require sponsorship for employment visa status (now or in the future) in the country where applying.

Awards and Benefits

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.