BNY is looking to leverage AI and advanced technologies to drive transformative solutions in the financial services industry, specifically by improving chatbot understanding, response accuracy, and user engagement through data science.
Requirements
- Proven experience in building and deploying machine learning models, preferably in NLP and chatbot domains.
- Strong programming skills in Python, R, or similar languages; familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
- Expertise in data mining, statistical analysis, and visualization tools.
Responsibilities
- Develop and communicate insights leveraging the scientific method, specializing in model science, feature science, and insight science capabilities.
- Design, develop, and deploy machine learning models to improve chatbot understanding, response accuracy, and user engagement.
- Analyze large volumes of chatbot interaction data to identify patterns, trends, and opportunities for optimization.
- Continuously evaluate and refine models to ensure robustness, scalability, and alignment with business goals.
- Stay current with emerging AI, NLP, and data mining techniques to innovate chatbot capabilities.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Supervise and guide junior team members, provide training in technical tools and business applications, and contribute to team objectives.
Other
- Bachelor’s degree in STEM or equivalent work experience; experience in related fields preferred.
- 3-5 years of related experience, preferably in the securities or financial services industry.
- Collaborate with cross-functional teams to translate data insights into practical solutions and product enhancements.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Supervise and guide junior team members, provide training in technical tools and business applications, and contribute to team objectives.
