AI Analyst 2

Overview

At Community Financial System, Inc. (CFSI), we are dedicated to providing our customers with friendly, personalized, high-quality financial services and products. Our retail division, Community Bank, N.A., operates more than 200 customer facilities across Upstate New York, Northeastern Pennsylvania, Vermont and Western Massachusetts. Beyond retail banking, we also offer commercial banking, wealth management, investment management, insurance and risk management, and benefit plan administration.

Just as our employees are committed to helping our customers manage their finances, we’re committed to our employees. After all, they make it happen for our customers every day.

To ensure our people can enjoy long and successful careers here at CFSI, we offer competitive compensation, great benefits, and professional development and advancement opportunities. As an equal-opportunity workplace and affirmative-action employer, we celebrate and support a diverse workplace for the benefit of all: our employees, customers and communities

Responsibilities

We’re seeking a motivated and curious AI Analyst 2 to help identify and apply artificial intelligence (AI) solutions across our organization. In this role, you will be exploring new technologies, evaluating emerging tools, and helping shape how AI creates real-world value in a highly regulated environment. 

You will bridge the gap between business operations and technical teams, using your analytical skills to drive insights, optimize decisions, and contribute to AI model development and refinement. If you’re excited about solving complex problems, energized by experimentation, and want to help shape the future of AI in financial services, this role is for you. 

Key Responsibilities: 

• Proactively identify AI use cases by exploring business pain points and process inefficiencies. 
• Support model development by assisting with data preparation, feature analysis, testing, and output interpretation. 
• Analyze and interpret model behavior to inform decision-makers and optimize performance. 
• Continuously research and test emerging Azure AI tools, LLM frameworks, and automation technologies. 
• Translate complex AI concepts into understandable, actionable insights for business leaders and non-technical audiences. 
• Promote responsible AI practices through transparency, fairness, and responsible model design considerations. 
• Create and maintain dashboards, visuals, and reports to communicate the progress and impact of AI initiatives. 
• Serve as an internal advocate for innovation, helping foster a culture of experimentation and continuous learning. 
• Maintain proficient knowledge of, and demonstrate ongoing compliance with all laws and regulations applicable to this position, ensure ongoing adherence to policies, procedures, and internal controls, and meet all training requirements in a timely manner.

Qualifications

• Bachelor’s degree in Computer Science, Data Analytics, Artificial Intelligence, or a related field; Master’s degree preferred.
• Ability to work effectively in a team environment and to multi-task in a fast-paced environment.
• Development experience with additional programming languages or frameworks (e.g. Java, C#, JavaScript) to support the creation of prototype applications.
• Excellent communication skills, with experience explaining technical concepts and findings to non-technical audiences.
• Proven ability to work independently, take ownership of initiatives, and drive projects to completion with minimal supervision.
• Experience with Python and SQL for data analysis, manipulation, and model development support.
• Solid understanding of machine learning concepts and the full ML lifecycle (e.g., training, testing, deployment, monitoring, and retraining).
• Demonstrated passion for AI and technology, with a track record of self-directed learning, hands-on experimentation, and staying abreast of industry trends.
• All applicants must be 18 years of age or older.

Preferred Skills: 

• Hands-on experience with Azure AI services, including: 
• Azure Machine Learning
• Azure AI Foundry
• Azure OpenAI Service
• Azure Cognitive Services (Vision, Language, Speech)
• Azure Data Factory, Synapse, or Databricks
• Familiarity with model explainability techniques (e.g., SHAP, LIME) and monitoring frameworks.
• Exposure to LLMs, generative AI tools, prompt engineering, or custom copilots.