BNY is looking to leverage AI and machine learning to enhance control frameworks and risk management processes, aiming to improve control effectiveness, reduce manual effort, and mitigate risks.
Requirements
- 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.
- 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.
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.
Other
- 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
- Ability to collaborate across teams and influence adoption of AI and scripting solutions to enhance control processes.
- The base salary for this position is expected to be between $52,000 and $102,000 per year at the commencement of employment.
