Associate, Business Analyst - Controls Hub Team

The Bank of New York Mellon • New York, NY

69d • $52,000 - $102,000

About The Position

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, 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 Associate, Business Analyst to join our Controls Hub team. This role is in New York, NY.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, Business Management, or related field, or equivalent experience
• 2-4 years of experience in a technology-driven environment with hands-on Python programming and AI application exposure
• Strong understanding of AI concepts, machine learning basics, and relevant tools or frameworks
• Experience in scripting for automation, data analysis, or system integration within financial services or control/risk management contexts is preferred
• Ability to collaborate across teams and influence adoption of AI and scripting solutions to enhance control processes

Responsibilities

• Design, Build and test AI agents using our in-house AI platform and Python to automate complex control-related tasks
• Organize and preprocess structured and unstructured data from sources like Excel and SharePoint
• Create well-structured prompts that guide AI agents to perform specific tasks accurately, consistently and in line with business requirements
• Test agents for accuracy, usefulness, and standards compliance; document outcomes and improvements
• Deploy, maintain, and monitor agents, making enhancements based on stakeholder feedback
• Architect multi agent solutions leveraging frameworks such as Langchain, CrewAI and Langraph
• Research, evaluate, and select appropriate large language models (LLMs) tailored to specific task requirements; design effective prompts and input formats to optimize LLM performance
• Configure LLM parameters such as temperature, max tokens, and response length to achieve the right balance between creativity and precision
• Conduct thorough testing to ensure AI solutions are reliable, safe, and aligned with business objectives
• Identify and recommend opportunities to leverage AI and machine learning for enhancing control frameworks and risk management processes
• Apply AI techniques to analyze control data, detect anomalies, predict risks, and uncover process inefficiencies
• Develop and maintain comprehensive documentation for AI models, detailing assumptions, limitations, and validation outcomes
• Collaborate closely with AI and data science teams to integrate machine learning models and AI-driven solutions into control systems
• Proactively identify ways to use AI and scripting to improve control effectiveness, reduce manual effort, and mitigate risks
• Create and maintain test plans and user documentation for AI-enhanced control applications and automation scripts

Benefits

• Highly competitive compensation
• Benefits and wellbeing programs
• Access to flexible global resources and tools
• Generous paid leaves, including paid volunteer time

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees