Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment
Management, and Wholesale (Global Markets and Investment Banking). 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 .
Nomura Services, India supports the group s global businesses. With worldclass capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group s global operations.
At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been wellrecognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India
Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards.
Function / Department Overview
The Chief Data Office plays a key role in defining and implementing the firms data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomuras 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 firms data assets are managed in line with the firms data management framework, policy and standards.
Job Responsibilities
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
: Build & Implement 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:
Develop & Implement best practices and techniques for model evaluation, testing and upgrades.
Collaborate with crossfunctional 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 endtoend 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.
Qualification & Core Skills requirement
Master or Bachler in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a similar field of study.
At least 7 to 10 years of Handson Experience in data and analytics roles.
Expertise in machine learning algorithms, statistical modeling, and deep learning, ensuring model accuracy, scalability, and performance.
Handson 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, semistructured 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 crossfunctional teams.
Knowledge of SDLC standards, including data integration, application security, and scalable design.
