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 #LifeAtBNY is 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 Summer Internship Program
The BNY Summer Internship Program provides high-potential students with a well-rounded, rewarding 10-week internship experience, as well as an inside look into what it is like to work for a global financial services organization that has been innovating and serving clients since 1784. With projects specifically chosen to both challenge and develop participants, our summer interns will gain valuable real-world experiences while learning to work together in collaborative teams and building a robust network within BNY.
From day one, summer interns are immersed in BNY’s innovative and dynamic company culture as they will receive:
Engineering
The 2026 BNY Summer Internship 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 bachelor's 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 2027
Does not require sponsorship for employment visa status (now or in the future) in the country where applying.
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:
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.
