At a Glance
- Tasks: Analyse data to combat fraud and protect customers from financial crime.
- Company: Join Santander, a tech-driven organisation focused on innovation and customer-centric solutions.
- Benefits: Competitive salary, wellbeing support, flexible working, and global career growth opportunities.
- Other info: Collaborative team environment with a focus on personal and professional development.
- Why this job: Make a real impact in fraud prevention while developing your analytical skills.
- Qualifications: Degree in a numerate subject and experience with SAS, SQL, or Python preferred.
Country: United Kingdom
IT STARTS HERE
Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.
This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
Retail & Commercial Banking is a global business integrating all our retail and commercial banking activities to better serve our customers, improve efficiency and drive value creation.
THE DIFFERENCE YOU MAKE
As a Fraud Analyst in Milton Keynes, you’ll be at the forefront of protecting our customers and the bank from financial crime. Whether you’re uncovering suspicious patterns in millions of transactions or building robust data solutions, your work will make a real difference every day. If you have a passion for problem-solving, love working with data, and want to help keep people safe, this could be the perfect role for you.
You’ll join a collaborative team that sits at the heart of our fraud prevention efforts, using advanced analytics and SAS programming to detect, investigate, and prevent fraud. You’ll work with a wide range of data sources, develop and automate reporting, and help shape the strategies that keep our customers secure. No two days are the same—one day you might be building a new fraud detection model, the next you could be responding to emerging threats or supporting business assurance processes.
If you’re curious, analytical, and want to use your technical skills to make a real impact, join us and help lead the fight against fraud. We’re shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas.
To succeed in this role, you will be responsible for:
- Creating data lead insights into fraud attacks
- Supporting Fraud Threat Squad as Fraud Analytics SME
- Building Ad-hoc reporting and control reports
- Diving into product business cases and identifying ways of product utilisation
- Streamlining processes and delivering best possible customer experience
WHAT YOU’LL BRING
Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organisation. We’re enabling teams to go beyond by valuing who they are and empowering what they bring.
The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Professional Experience:
- A degree in a numerate subject (such as mathematics, statistics, or a related field) (Required)
- A curious and analytical mindset – you enjoy investigating data and solving problems (Preferred)
- A logical and methodical approach to tasks and decision-making (Preferred)
- Excellent attention to detail and the ability to work accurately with large datasets (Preferred)
Education:
- Bachelors Degree
Hard Skills:
- Experience using SAS, SQL, or Python for data analysis (Preferred)
- Previous experience working in fraud analytics or financial crime prevention (Preferred)
- Experience building or supporting statistical or machine learning models (Preferred)
- Familiarity with cloud platforms such as AWS (Preferred)
WE VALUE YOUR IMPACT
At Santander, your contribution matters. We recognise the difference you make every day, and we make sure you feel valued, supported and rewarded in return. Here, recognition goes beyond pay. It’s about the pride you feel in your work, the impact you have on customers and communities, and the opportunities you have to grow and thrive — personally and professionally.
Salary Range: £35,452.00 - £53,178.00 per annum (depending on experience). This salary range represents the expected remuneration for the role. Annual salary is based on a standard 35-hour working week. Actual salary offered will depend on skills, experience, qualifications and location.
Competitive rewards that reflect the real impact you make and the value you bring.
Wellbeing that goes beyond work — we work with a range of wellbeing partners across our 4 pillars of wellbeing (physical, mental, social and financial) to give you access to a suite of apps, discounted gym and fitness access, weekly online classes, flexible healthcare and mental health support.
Support for every life stage — from menopause and pregnancy to parenthood and beyond, with enhanced family leave, childcare options and tailored wellbeing support.
Time to give back through volunteering opportunities that let you make a difference in the communities we serve.
Global growth opportunities to shape your career, learn new skills and explore what’s possible across our international network.
Ready to be recognised? It starts with you.
LOCAL COMPLIANCE
At Santander, we’re proud to be an inclusive organisation that provides equal opportunities for everyone — regardless of age, gender, disability, civil status, race, religion or sexual orientation. We’re committed to creating a recruitment experience that’s accessible, fair and welcoming for all candidates. We want our people to thrive — at work and at home — while delivering the best outcomes for our customers and supporting each other to grow.
To make this possible, our roles are site-based with a hybrid working pattern, where colleagues are expected to attend the office at least 12 days per month (pro-rata for part-time roles). When applying, please consider the travel distance, time and cost to your chosen office location. We welcome applications on the understanding that, should you be offered this role, there may be no relocation package available. Santander will pay the employer mandatory government fees that are required to pay in connection with visa sponsorship. You may be liable for your own personal employee immigration and relocation costs.
WHAT TO DO NEXT
If this sounds like a role you are interested in, then please apply. For further Guidance please visit Internal Mobility - Candidate Guidance. If you want to know more about the opportunity: Please contact Titas Vdovycia - titas.vdovycia@santander.co.uk
Fraud Data Analytics | S2 | Fraud Analytics | Milton Keynes | Internal Mobility employer: Santander UK
Santander UK is an exceptional employer that champions inclusivity and diversity, making it a fantastic place for professionals in the banking sector. With a strong commitment to employee growth and development, staff are encouraged to pursue meaningful career paths while enjoying a supportive work culture that values collaboration and innovation. Located in a vibrant city, employees benefit from a dynamic environment that fosters both personal and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Data Analytics | S2 | Fraud Analytics | Milton Keynes | Internal Mobility
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We think you need these skills to ace Fraud Data Analytics | S2 | Fraud Analytics | Milton Keynes | Internal Mobility
Some tips for your application 🫡
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Santander UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Santander UK
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
