DescriptionJob 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:
- Masters 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.
Required Experience:
Exec
DescriptionJob 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 ...
DescriptionJob 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:
- Masters 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.
Required Experience:
Exec
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