JOB DESCRIPTION

Job title: Data Science & AI
Corporate Title: Vice President
Department: IT
Location: Singapore

DIVERSITY STATEMENT

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.
DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.
Nomura is an Equal Opportunity Employe

• Risk and control mindset: Conversant with Data, Cloud and AI risks and ability to interpret policies and frameworks for governance.
• Good understanding of responsible AI development and emerging risks of Generative AI.
• Modernize and automation of controls frameworks: Apply advanced analytics and AI/ML techniques to enhance and automate Data, Cloud and AI controls.
• Develop and optimize AI/ML models, ensuring model accuracy, scalability, and performance.
• Model evaluation: Establish best practices and techniques for model evaluation, testing and upgrades.
• Collaborate with cross-functional teams, including data engineers, software developers, and subject matter experts, to ensure seamless integration of data science and AI solutions.
• Solution Delivery: Design, develop, and build end-to-end solutions using AI/ML models, following SDLC standards, including data integration, application security, and scalable design.
• Communication: Collaborate with business stakeholders to identify opportunities and define solution requirements. Communicate effectively with stakeholders articulating risks, benefits and controls for data, cloud and AI
• Continuous learning: Stay up to date with the latest advancements in data science, machine learning, and AI technologies, and continuously improve existing solutions