Vice President - Data Science & AI (Singapore) - Group Technology

NOMURA SINGAPORE LIMITED; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A global financial services firm in Singapore is seeking an experienced Data Scientist to enhance AI and data governance. The ideal candidate will have a Master's degree and over 10 years of experience in data analytics, with expertise in machine learning and cloud platforms. Responsibilities include developing AI/ML models and collaborating with cross-functional teams to deliver innovative data solutions.

Qualifications

• 10+ years of relevant experience in data and analytics roles.
• Hands-on experience in building and managing model pipelines.
• Ability to evaluate models for responsible AI frameworks.

Responsibilities

• Develop and optimize AI/ML models for accuracy and performance.
• Collaborate with cross-functional teams for solution delivery.
• Stay abreast of advancements in data science and AI technologies.

Skills

Machine learning algorithms

Statistical modeling

Data analysis

Collaboration

Education

Master's degree in Data Science or related field

Tools

AWS

GCP

Azure

MLOps tools

Job description

Company overview
Nomura is a global financial services group with an integrated network spanning over 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Wholesale (Global Markets and Investment Banking), and Investment Management. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Department overview:
The Chief Data Office plays a key role in defining and implementing the firm's data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture. Governance remains a critical focus area, and the Chief Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards.

Role description:

• 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.

Skills, experience, qualifications and knowledge required:

• Master's degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a similar field of study.
• At least 10 years of relevant experience in data and analytics roles.
• Expertise in machine learning algorithms, statistical modeling, and deep learning, ensuring model accuracy, scalability, and performance.
• Hands-on experience in building and managing model pipelines for testing, training, and deployment.
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools
• Proficiency with handling unstructured problems, managing complex structured, semi-structured and unstructured data
• Ability to evaluate models, test for responsible/ethical AI frameworks and apply controls to manage AI risk
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Knowledge of SDLC standards, including data integration, application security, and scalable design.

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 Employer

SFID: 10387