Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business & Data Governance Associate - Data Science & AI - Nomura

Nomura
London
1 day ago
Create job alert

Job Title : Business & Data Governance Associate - Data Science & AI

Corporate Title : Associate

Department : Chief Data Office

Location : London (Hybrid)

Company 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

Department overview:

The Chief Data Office is a second line of defence function that 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:

  • This role covers a wide breadth of activities involving - interaction with senior stakeholders, understanding process pain points, ideating and developing hypotheses.
  • The person will also be required to dive-deep into data, test hypotheses, perform quick hands-on analyses and build solutions prototypes (pertaining to Risk & Controls domain).
  • We are looking for an individual with an understanding of operational risks emanating from interconnected risks of AI systems, data management, and cloud infrastructure.

The specifics of the role involves:

  • Lead the development of advanced analytics solutions for AI based automation of BAU processes for Data, Cloud & AI governance that are core to second line of defence responsibilities.
  • Develop testing methodologies to evaluate AI systems for bias, fairness, explainability, and regulatory compliance.
  • Conduct impact assessments for new AI/ML implementations within the firm.
  • Develop comprehensive risk metrics that span AI, data, and cloud operations.
  • Develop and execute testing methodologies to evaluate controls across all three domains (AI, Data, Cloud)

Skills, experience, qualifications and knowledge required:

  • Bachelor's or Master's degree in STEM (or any other quantitative field) is preferable but not required given relevant skillsets and experience.
  • Several years of previous experience in data science/business analytics roles, with preferably an exposure to Financial Services.
  • Exposure to consulting environment preferred. We are looking for agility to cross-connect ideas & best practices from one domain to another.
  • Experience with risk management & AI governance frameworks in financial services preferred.

Technical Skills:

  • Proficiency in Python and SQL for data analysis and model development.
  • Intermediate understanding of machine learning algorithms, statistical modelling, Gen AI solution architecture.
  • Familiarity with AWS and Snowflake environments is highly desired.
  • The role focuses on hands-on data analysis of structured & unstructured data & not necessarily model building.

Analytical skills:

  • Strong aptitude to grasp patterns in the data and perform hands-on analysis to test hypotheses (in the context of Risk & Controls domain).
  • Excellent listening and verbal communication skills to explain technical concepts to non-technical stakeholders. Strong storytelling skills desirable.
  • Ability to learn quickly is highly valued.
  • Aptitude to continually learn and update one's knowledge base on the latest developments in AI technology & corresponding governance frameworks.

Nomura competencies

Explore Insights & Vision

  • Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

  • Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

  • Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

  • Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

  • Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).



Right to Work

Applicants must have the right to work in the UK. Please note we are unable to offer visa sponsorship for this role.

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. If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us.

Nomura is an Equal Opportunity Employer

Related Jobs

View all jobs

Business & Data Governance Associate - Data Science & AI - Nomura

Business & Data Governance Associate - Data Science & AI

Senior Data Analyst - UK

Staff Data Engineer London

Senior Data Engineer

Azure AI Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.