About the Company & Graduate Programme
NatWest Group is one of the UK’s leading financial services institutions, serving over 19 million retail, commercial, and institutional customers across the nation. As part of our commitment to championing potential and driving digital-first banking, our data and analytics teams stand at the forefront of financial innovation. We leverage advanced machine learning, cloud analytics, and ethical AI to deliver personalized customer experiences, streamline operations, and pioneer sustainable, climate-conscious financial products.
Our Data & Analytics Graduate Programme is pivotal to our future technology and commercial roadmap. By placing ambitious early-career talent directly into high-impact digital initiatives, we are cultivating the next generation of data leaders. From day one, you will work on live, customer-facing projects, collaborating with cross-functional teams across our Bishopsgate headquarters and modern digital hubs to transform complex data into actionable business intelligence.
What You'll Do & Key Responsibilities
- Leverage modern analytical technologies including Python, SQL, R, and PySpark to extract, clean, and model structured and unstructured data sets.
- Design and deploy interactive performance dashboards using Tableau and Power BI to communicate actionable insights to executive leadership.
- Collaborate with Data Engineers and Product Owners to build scalable predictive models for customer retention, fraud detection, and credit risk assessment.
- Conduct exploratory data analysis (EDA) to identify emerging market trends, customer behavior patterns, and opportunities for digital feature enhancements.
- Support the continuous optimization of data pipelines and cloud database infrastructure hosted on AWS and Microsoft Azure.
- Engage with non-technical business partners across Commercial Banking, Wealth Management, and Retail Banking to translate business problems into technical analytics requirements.
- Adhere to strict data governance, regulatory compliance, and ethical AI frameworks to safeguard customer data and maintain institutional trust.
- Present data-driven strategic recommendations during end-of-rotation executive reviews to drive customer-centric decision-making.
Who We Are Looking For & Candidate Eligibility
- Achieved or currently on track for a 2:1 undergraduate or postgraduate degree in any STEM, Business, Economics, or Quantitative discipline.
- Demonstrable passion for data analysis, machine learning, and emerging banking technologies through academic modules or personal projects.
- Proven hands-on exposure to foundational programming languages or querying tools such as SQL, Python, or R.
- Exceptional analytical mindset with a structured approach to complex problem-solving and critical thinking.
- Outstanding verbal and written communication skills with the ability to convey complex insights to diverse stakeholder groups.
- Strong collaborative orientation and interpersonal skills, thriving in dynamic, cross-functional team environments.
- Full right to work in the UK; we support sponsorship under the UK Skilled Worker Visa and Graduate Route Visa schemes for eligible candidates.
Graduate Training, Rotations & Mentorship
Over the course of this structured 2-year programme, you will undertake three distinct 8-month rotations tailored to broaden your technical skill set and commercial acumen. Potential placement areas include Customer Insights & Personalisation, Financial Crime Analytics, Climate Risk & ESG Intelligence, and Digital Product Analytics. Each rotation presents unique engineering and analytical challenges, allowing you to discover where your long-term passion lies while building a comprehensive network across NatWest Group.
We prioritize your professional growth by sponsoring industry-recognized qualifications, such as the AWS Certified Data Analytics Specialty, BCS Professional Certifications, or Data Science Diplomas. Alongside formal training, you will be paired with an executive mentor from our senior leadership team and a dedicated graduate buddy to guide your career progression, offer continuous feedback, and help you unlock your full leadership potential.
Salary, Bonus & Benefits Package
- Starting competitive base salary of £35,000 to £38,000 per annum, evaluated upon location and experience.
- Discretionary annual performance-related cash bonus and recognition rewards.
- Non-contributory pension scheme matching up to 10% of base salary.
- 25 days paid annual leave plus standard UK bank holidays, with the option to buy/sell up to 5 days.
- Comprehensive private medical coverage, dental options, and confidential employee assistance programmes.
- £500 flexible hybrid working allowance to equip your ideal home workspace.
- Relocation assistance and interest-free season ticket loans for London commuters.
Recruitment Stages & How to Apply
- Online Application & CV Submission: Upload your CV and personal details via our online portal before the specified closing date.
- Gamified Cognitive & Situational Judgement Tests: Complete online assessments measuring numerical reasoning, logical problem-solving, and alignment with our core values.
- On-Demand Video Interview: Record short video responses to competency-based and hypothetical business scenario questions.
- Virtual Assessment Centre & Technical Presentation: Participate in group discussions, present a prepared data case study, and complete a final interview with senior analytics directors.
Applications are evaluated on a rolling basis, so early submission is strongly encouraged to secure your preferred intake location.