About the Company & Graduate Programme
NatWest Group is a relationship bank for a digital world, serving over 19 million customers across the UK. As a leader in the British financial sector, we are undergoing a monumental shift toward becoming a data-driven, customer-centric institution. Our commitment to innovation is reflected in our massive investment in cloud migration, artificial intelligence, and cybersecurity, positioning us as a hub for the UK's top analytical talent. By joining our Data & Analytics stream, you are not just starting a job; you are becoming an integral part of the engine that powers the UK economy.
This graduate intake is pivotal to our 'Purpose-led' strategy, where we leverage data to provide personalized financial insights and safeguard our customers' futures. We foster a culture of inclusivity and curiosity, where graduates are encouraged to challenge the status quo. Whether you are building predictive models for credit risk or analyzing consumer behavior to enhance digital journeys, your work will directly influence the bank's technological roadmap. We pride ourselves on cultivating the next generation of leadership through hands-on responsibility and high-impact project delivery.
What You'll Do & Key Responsibilities
- Collaborate within cross-functional squads to develop data pipelines using modern ETL tools and SQL-based environments.
- Participate in 18-24 month rotational placements across areas such as Retail Banking Analytics, Fraud Detection, and Wealth Management Digital Strategy.
- Build and maintain machine learning models using Python or R, focusing on predictive maintenance for internal banking systems.
- Present complex analytical findings to senior stakeholders and non-technical business partners to drive evidence-based decision-making.
- Engage in 'Cloud-First' migration projects, utilizing AWS and Azure environments to scale our data infrastructure.
- Contribute to the automation of reporting suites, replacing legacy processes with real-time dynamic dashboards in Tableau or PowerBI.
- Assist in the governance and quality control of enterprise data to ensure strict adherence to UK financial regulatory standards.
Who We Are Looking For & Candidate Eligibility
- Degree background: We welcome applications from STEM (Mathematics, Physics, Computer Science, Engineering) and Data-heavy Business degrees.
- Academic achievement: A minimum 2:1 degree classification (or predicted) is required.
- An analytical mindset: You should possess a natural aptitude for breaking down complex datasets into actionable business insights.
- Problem-solving: A demonstrated ability to approach ambiguous challenges with a logical, creative, and proactive methodology.
- Teamwork: A commitment to collaborative working and the ability to articulate technical concepts to diverse groups of people.
- Technical curiosity: Proficiency or interest in programming languages such as SQL, Python, or R is essential.
- Residency: Applicants must possess the Right to Work in the UK. We offer visa sponsorship for eligible international graduates under the Skilled Worker route.
Graduate Training, Rotations & Mentorship
Our structured 24-month programme is designed to bridge the gap between academic theory and industry application. You will embark on three distinct rotations, each lasting 8 months, providing you with a holistic view of how data permeates every level of a Tier-1 financial institution. Alongside your daily work, you will be enrolled in our Data Academy, which provides pathways to obtain professional certifications in AWS Cloud Practitioner, Google Cloud Professional Data Engineer, or relevant SAS qualifications.
Support is the cornerstone of our graduate experience. Every graduate is paired with a dedicated 'buddy'—a former graduate who knows the ropes—and a senior mentor from the Data leadership team. These relationships are designed to facilitate career navigation, foster professional growth, and provide a safe space to discuss personal development goals. You will also participate in regular 'lunch and learn' sessions and exclusive networking events with our Chief Data Officer and executive board.
Salary, Bonus & Benefits Package
- Competitive base salary of £36,500 per annum, reviewable upon completion of rotations.
- Performance-related annual bonus scheme based on personal and company KPIs.
- Generous employer pension contribution up to 10% when matched by employee.
- 28 days annual leave plus public bank holidays, with an option to purchase additional days.
- Comprehensive private healthcare plan and subscription to digital wellbeing and mental health apps.
- Hybrid working allowance for home-office setup and travel support for client meetings.
- Relocation assistance package available for graduates moving to London for the programme.
Recruitment Stages & How to Apply
- Online Application & CV: Submit your CV and a brief cover letter through our portal. Ensure your technical skills are clearly highlighted.
- Gamified Cognitive & Situational Judgement Tests: These assessments measure your logical reasoning and how you handle complex workplace dilemmas.
- On-Demand Video Interview: A pre-recorded session answering four structured questions focused on your motivation and cultural fit.
- Virtual Assessment Centre & Technical Presentation: The final stage involves a group exercise, a technical deep-dive case study, and a final interview with hiring managers.
We recruit on a rolling basis, and our vacancies fill up quickly; we strongly urge all candidates to submit their applications as early as possible to avoid disappointment.