GenAI Lead

About the company
A leading global bank
 

Key Responsibilities:

• Strategy Development: Lead the development and implementation of GenAI and LLM strategies to enhance risk analytics and modeling.
• Model Development: Design, develop, and fine-tune LLMs and GenAI models for risk assessment and management.
• Data Pipeline Orchestration: Establish and optimize data pipelines to support the integration of GenAI and LLM solutions.
• Risk Modeling: Apply GenAI and LLM techniques to improve existing risk models and develop new models for better risk prediction and management.
• Collaboration: Work closely with cross-functional teams, including data scientists, risk managers, and business stakeholders, to ensure seamless integration of AI solutions.
• Compliance and Governance: Ensure that all GenAI and LLM applications comply with regulatory requirements and internal governance standards.
• Team Leadership: Lead and mentor a team of data scientists and engineers, fostering a culture of innovation and continuous improvement.

• Experience: Minimum of 8 years in IT roles, with at least 3 years focused on LLMs and risk modeling in the financial sector.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. A Ph.D. is preferred.
• Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks. Experience with Hugging Face, Spark, and other relevant tools.
• Risk Management: Proven experience in risk modeling and analytics, particularly in a financial services environment.
• LLM Expertise: Deep understanding of LLM architectures and their application in risk management.
• Communication: Strong written and verbal English communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Regulatory Knowledge: Familiarity with financial regulations and compliance requirements.
• Project Management: Experience in leading large-scale AI projects from concept to deployment.
• Innovation: Track record of driving innovation and implementing cutting-edge AI solutions.