Data & Analytics Risk Placement – 12 Months, Hybrid

Nationwide; Greater London; Hybrid; GBP 18,000 - 24,000; Full time

Benefits offered by this job

25 days holiday (increases to 30)

Annual bonus

Private medical insurance

Wellbeing benefits

Salary sacrifice scheme

Job summary

Nationwide is offering a Data & Analytics Industrial Placement - Risk in London, designed for ambitious students pursuing a STEM undergraduate degree. The 12-month programme blends hands-on data work with professional development, helping you turn data into actionable insight while learning how AI and risk management support business decisions.

You'll join the Risk function, gain exposure to analytics, AI and controls, and contribute to projects that strengthen risk management and improve

Qualifications

• Studying towards an undergraduate degree in a STEM subject.
• Interest in data, analytics, AI and evidence-based decision making.
• Curiosity about how organisations use insight to improve performance and manage risk.
• Ambition to keep growing, take on new challenges and build towards next career step.

Responsibilities

• Analyse data and identify trends to support risk assessments.
• Transform data into insight to inform decision-making.
• Collaborate with colleagues across the business to improve processes.
• Support the implementation of data analytics, AI and risk management initiatives.
• Contribute to projects that improve outcomes for customers and the organisation.

Skills

Data analytics

AI familiarity

Risk management

Problem solving

Communication

Stakeholder engagement

Analytical thinking

Education

STEM undergraduate

Job description

Nationwide is offering a Data & Analytics Industrial Placement - Risk in London, designed for ambitious students pursuing a STEM undergraduate degree. The 12-month programme blends hands-on data work with professional development, helping you turn data into actionable insight while learning how AI and risk management support business decisions.

You'll join the Risk function, gain exposure to analytics, AI and controls, and contribute to projects that strengthen risk management and improve