RSK-Global Middle Office

Nomura Overview:

 

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 world-class 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 well-recognized 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.

 

Divisional Overview:

 

 The Risk Management Division encompasses the firm's comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firm's risk-return profile, which ensures the efficient deployment of the firm's capital. It is one of the firm's core competencies and is independent of the trading areas and operational areas  

 

Business Overview:

 

Risk Infrastructure (RI)

 

Risk Infrastructure is responsible for the overall governance and support of the firm’s Financial Risk platform. This includes activities like Input Data Management and Control, Exposure Metric Validation, Data Integrity & consistency, Counterparty Exposure validation and Capital Assurance, Risk Limit Management, Risk Reporting and Automation & AI Implementation & Governance.

Position Specifications:

 

Corporate Title

Associate

Functional Title

Associate

Experience

4-6 years

Qualification

BE/B.Tech/ Masters

Requisition No.

10107  

Role Overview

 

We are seeking a data science professional to join our Risk Infrastructure team within the Automation & AI function. This business-focused role sits within Risk Management and combines data science expertise with risk management knowledge to drive intelligent automation initiatives. The ideal candidate will leverage their strong analytical and technical skills to transform risk management practices through data-driven solutions and AI implementation, while maintaining a deep understanding of business context and requirements.

 

 

Role & Responsibilities:

 

 

AI/ML Risk Management

 

• Guide Risk teams through the complete AI lifecycle, from ideation to implementation
• Partner with Risk teams to:
  • Identify opportunities for AI implementation
  • Assess feasibility and risks of AI solutions
  • Design appropriate governance frameworks
  • Evaluate model performance and risks
• Develop AI governance frameworks and assessment criteria
• Collaborate across teams to ensure AI solutions meet Risk management standards
• Provide oversight on AI/ML model development and implementation
• Support risk teams in understanding and managing AI-related Risks
• Ensure compliance with AI governance policies and regulatory requirements
• Facilitate communication between technical teams and Risk stakeholders

 

Digital Infrastructure & Automation

 

• Develop and implement automation frameworks for Alteryx & Python
• Lead global GITHUB implementation across Risk Management
• Build and nurture digital tool user communities
• Organize knowledge sharing sessions and training programs
• Champion no-code platform adoption
• Establish best practices for automation tools

 

Required Qualifications

 

• Bachelor’s degree in computer science, Data Science, Finance, or related field
• 4-6 years’ experience in data science or quantitative analysis (financial services preferred)
• Strong understanding of risk management principles and financial markets
• Working knowledge of AI/ML concepts and their applications in risk management
• Experience in stakeholder management and cross-functional collaboration
• Ability to translate technical concepts for non-technical audiences

 

Technical Skills

 

• Foundational understanding of AI/ML models and their limitations
• Automation tools: Alteryx, No-code platforms
• Version Control: Git
• Cloud Platforms: Working knowledge of major cloud services
• Programming: Python

Mind Set:

 

 

Mandatory

Desired

Domain

 

- Analytical Excellence: Strong quantitative mindset with attention to detail

- Business Acumen: Ability to understand and align with business objectives

- Risk Awareness: Understanding of risk management principles and governance requirements

 

- Communication: Excellent ability to explain complex technical concepts to non-technical stakeholders

- Collaboration: Ability to work effectively with cross-functional teams

Technical

- Problem Solving: Strong analytical and critical thinking skills    

- Continuous Learning: Keen interest in staying updated with latest developments in AI/ML

 

The firm is an equal opportunity employer, and we are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. The firm and its affiliates prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer’s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.