As an Applied AI ML Director in our CIB DIGITAL, DATA & AI team, you will spearhead innovation and lead high-performing teams to develop groundbreaking technologies that propel our Markets business forward. You will collaborate with software engineers, business stakeholders, and AI practitioners to deliver transformative solutions that enable our business to scale and thrive.

Are you a visionary technical leader with a passion for leveraging data and artificial intelligence to drive meaningful, real-world change? We are seeking individuals who think differently and are eager to challenge the status quo. Collaborate with software engineers, business stakeholders, and AI practitioners to deliver transformative solutions that enable our business to scale and thrive.

Job Responsibilities

• Lead the formulation and execution of AI strategies to address complex challenges in Markets Operations, ensuring alignment with business objectives.
• Oversee the design and development of robust, scalable, and reusable machine learning models and systems that deliver measurable business impact.
• Partner with engineering and business teams to integrate AI services seamlessly into strategic systems and processes, enhancing operational efficiency.
• Establish comprehensive evaluation frameworks to assess model performance and drive continuous improvement in alignment with business goals.
• Deepen your understanding of the Markets business to identify opportunities for AI-driven innovation and deliver practical, impactful solutions.
• Lead, mentor, and inspire a team of AI practitioners, fostering a culture of excellence, innovation, and continuous learning.
• Ensure the creation and maintenance of production-grade code for analysis and training pipelines, adhering to best practices and industry standards.

Required qualifications, experience, and skills

• Master’s or higher qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field.
• Extensive experience in leading and managing high-performing AI or data science teams.
• Deep understanding of fundamental machine learning approaches and practical experience with statistical data analysis and experimental design.
• Proven track record of developing and deploying data science and ML capabilities in production at scale.
• Strong experience with Python programming and common ML frameworks (e.g., PyTorch, Pandas, NumPy) and MLOps platforms (e.g., SageMaker).
• Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Demonstrated ability to work effectively on multi-disciplinary teams with diverse backgrounds.

Preferred Qualifications, Capabilities, and Skills

• PhD in Machine Learning, Computing Science, or related fields.
• Experience in using AI and machine learning for software engineering.
• Strong client partnership, stakeholder management, and project management skills.
• Proven ability to deliver impactful books of work that drive business success.