About the Company & Graduate Programme
NatWest Group stands at the vanguard of the UK’s financial ecosystem, serving millions of customers through a diverse portfolio of brands including NatWest, Royal Bank of Scotland, and Ulster Bank. As a purpose-led organisation, we are fundamentally reshaping banking for the digital age, focusing on climate transition, entrepreneurship, and financial capability. Our commitment to innovation is embedded in our DNA, as we transition from a traditional high-street institution to a data-driven, customer-centric digital powerhouse. By joining our Graduate Data & Digital Analytics Programme, you are not just embarking on a career; you are joining a mission to harness the power of data to create meaningful, personalised banking experiences that reach millions.
This graduate intake is pivotal to our long-term strategic evolution. As we continue to invest heavily in machine learning, cloud-native infrastructure, and advanced predictive modelling, we require the next generation of inquisitive minds to challenge the status quo. This programme is designed to bridge the gap between academic theory and high-stakes commercial reality. You will be operating within a culture that champions diversity of thought and collaborative problem-solving, providing you with a platform to influence the strategic direction of one of the UK's most influential FTSE 100 organisations.
What You'll Do & Key Responsibilities
- Participate in three 8-month rotations across diverse departments, including Financial Crime, Digital Customer Journeys, and Commercial Data Strategy.
- Utilise Python, SQL, and R to extract and manipulate complex datasets, uncovering actionable business intelligence to drive decision-making.
- Deploy predictive models and machine learning algorithms on cloud platforms (AWS/GCP) to optimise banking product performance and customer engagement.
- Translate technical data findings into visual dashboards using Tableau or PowerBI for presentation to senior stakeholder groups and departmental heads.
- Engage directly with business leaders to identify core operational pain points and develop data-led solutions that improve system efficiency.
- Support the integration of AI-driven automation in core banking functions to ensure we remain resilient against cyber threats and market volatility.
- Contribute to agile scrums, participating in daily stand-ups and collaborative sprints alongside software engineers and product owners.
Who We Are Looking For & Candidate Eligibility
- Minimum 2:1 undergraduate degree in a STEM, Economics, Business Analytics, or related quantitative discipline.
- Strong analytical mindset with a proven ability to process complex information and derive logical, data-backed conclusions.
- Proficiency or a demonstrable aptitude for learning coding languages such as Python or SQL is essential for technical delivery.
- Exceptional communication skills, with the ability to articulate complex technical data in simplified terms for non-technical audiences.
- Collaborative spirit, demonstrated through academic project leadership, extracurricular activities, or previous internships.
- Resilience and an appetite for problem-solving in a fast-paced, highly regulated environment.
- Candidates must have the full right to work in the UK without sponsorship, though we do support those applying via the Graduate Route visa.
Graduate Training, Rotations & Mentorship
Our 24-month programme is structured to offer maximum exposure across our business units. Your journey begins with an intensive 4-week onboarding bootcamp, covering everything from core banking fundamentals to the latest developments in financial technology and data governance. Following this, you will transition through rotations tailored to your career aspirations, ensuring you develop a broad and robust toolkit of skills. Throughout your programme, you will receive dedicated support to pursue industry-recognised certifications, including AWS Cloud Practitioner, Google Professional Data Engineer, or professional data analytics qualifications sponsored by the Group.
Support is a cornerstone of our programme. Every graduate is paired with a peer-level 'buddy' from the previous cohort to help you navigate your first few months, alongside a senior mentor from the Data & Analytics leadership team. This mentorship pairing provides you with career guidance, networking opportunities, and insights into the senior leadership trajectory. You will also have access to regular 'lunch and learn' sessions, leadership masterclasses, and an active graduate community that hosts social, charitable, and professional development events year-round.
Salary, Bonus & Benefits Package
- Competitive base salary of £36,000 to £38,000 per annum.
- Annual discretionary performance-related bonus based on individual and group targets.
- Generous pension scheme with employer matching up to 10%.
- 25 days annual leave plus 8 bank holidays and the option to buy/sell additional leave.
- Comprehensive private healthcare coverage and a mental health & wellbeing support programme.
- Hybrid working allowance to support your home office setup.
- Relocation assistance package for those moving to London for the programme.
- Access to exclusive employee banking benefits and high-street shopping discounts.
Recruitment Stages & How to Apply
- Online Application & CV: Submit your application via our portal, ensuring your CV highlights relevant projects, technical skills, and leadership experience.
- Gamified Cognitive & Situational Judgement Tests: Complete a series of engaging assessments designed to evaluate your logical reasoning, numerical agility, and decision-making styles.
- On-Demand Video Interview: Showcase your passion for digital banking and your motivation for joining NatWest Group via a recorded video submission.
- Virtual Assessment Centre: The final stage involving a technical presentation, a group exercise with fellow candidates, and a final interview with a hiring manager. Applications are reviewed on a rolling basis; we encourage candidates to submit their applications as early as possible as places are filled on a first-come-first-served basis.