Job Responsibilities:

• Development and implementation of LLM-based solutions for compliance and risk management use cases.

• Assist in researching and applying LLM techniques to improve automation, document analysis, and risk detection in the CCOR domain.

• Work with team members and stakeholders to gather requirements and contribute to solution design.

• Communicate technical findings and project updates to both technical and non-technical audiences.

• Help maintain and enhance tools and processes for LLM model evaluation and optimization.

Analyze data and model outputs to assess performance and suggest improvements.

Required Qualifications and Skills:

• Master/Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Economics, Mathematics) or related field.

• 2+ years of experience in AI, with exposure to Machine Learning, LLMs or NLP technologies preferred.

• Programming skills in Python; familiarity with NLP libraries

• Understanding of language modeling concepts and general AI principles.

• Experience with data analysis and interpretation.

• Strong analytical and problem-solving skills, with the ability to communicate results clearly.

Familiarity with data structures and algorithms is desirable.