Job Responsibilities:
- Lead the CCOR data science team in designing, deploying, and managing advanced LLM and GenAI solutions for compliance and risk management.
- Drive research and innovation in LLMs, GenAI, and related AI technologies to enhance model performance and address complex regulatory challenges.
- Foster collaboration across cross-functional teams, including technology, compliance, and business stakeholders, to identify needs and deliver impactful solutions.
- Oversee the development and maintenance of tools, frameworks, and processes for LLM model training, evaluation, and optimization.
- Guide the team in analyzing and interpreting data to evaluate model effectiveness and identify opportunities for improvement.
- Communicate complex technical concepts and project outcomes to senior leadership and non-technical stakeholders, enabling informed decision-making.
- Mentor and develop team members, promoting a culture of innovation, continuous learning, and excellence.
Required Qualifications and Skills:
- Master's degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Economics, Mathematics) from a top-tier university.
- 10+ years of experience in AI/ML, with significant recent exposure to LLMs, GenAI, and NLP technologies.
- Proven track record of leading teams in developing and deploying AI solutions in compliance, risk, or related domains.
- Advanced programming skills in Python, with deep experience in frameworks such as PyTorch, TensorFlow, and NLP libraries (e.g., Hugging Face Transformers).
- Strong knowledge of LLM architectures, transformers, and language modeling.
- Experience in data pre-processing, feature engineering, and advanced data analysis.
- Exceptional problem-solving skills and the ability to communicate ideas and results clearly to diverse audiences.
- Demonstrated leadership, mentoring, and team-building capabilities.
- Familiarity with regulatory requirements and risk management practices in financial services is highly desirable.
