At a Glance
- Tasks: Develop and optimise fraud prevention strategies while analysing complex datasets.
- Company: Join NewDay, a forward-thinking company focused on innovation and collaboration.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement in a diverse and inclusive environment.
- Why this job: Make a real impact by combating fraud and enhancing customer experiences.
- Qualifications: Experience with SQL and Python, strong analytical skills, and attention to detail.
The predicted salary is between 50000 - 65000 £ per year.
The Specialist in Transactional and First Party Fraud is responsible for developing and optimising fraud prevention and detection strategies across NewDay’s products, identifying emerging fraud trends, and enhancing controls to reduce risk while maintaining a strong customer experience. The role applies analytical techniques to improve fraud outcomes, collaborates closely with Fraud Operations, Data Science teams, third-party vendors, and law enforcement, and supports operational effectiveness. They are accountable for fraud strategy performance and deployment, delivering system and process improvements, and driving initiatives end-to-end in a fast-paced environment, requiring strong technical capability, advanced analytical skills, and the ability to handle complex challenges independently while contributing to a collaborative, forward-thinking team.
How you’ll contribute
- Stay ahead of emerging fraud trends by designing smart, data led prevention strategies across multiple systems
- Analyse complex datasets to uncover risks and turn insights into effective fraud controls
- Continuously monitor, assess, and optimise existing strategies to improve performance and efficiency
- Lead and support key initiatives with internal teams and external partners to strengthen fraud prevention
- Put customers at the centre of everything, ensuring decisions protect and enhance their experience
We're looking for these essential skills
- Hands on experience using SQL and Python for data analysis and problem solving
- A self starter who can work independently, manage priorities, and take ownership of outcomes
- Strong attention to detail, with the ability to spot issues and act on them quickly
- Creative and proactive mindset, always looking for new ways to combat evolving fraud threats
- Confident using Microsoft Office tools (Excel, Word, PowerPoint) to communicate insights clearly
It’s a plus if you also have these skills
- Understanding of the payments ecosystem and/or experience working in fraud prevention
- Experience with data science tools (e.g. Python, graph analytics databases)
- Knowledge of credit cards, lending products, or broader financial services
- Familiarity with fraud tools such as Falcon, Featurespace, ThreatMetrix, Outseer, Hunter, or First Vision
- Experience with data visualisation tools like Tableau or Power BI
At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive.
Specialist, Transactional Fraud in London employer: NewDay Ltd
Contact Detail:
NewDay Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Specialist, Transactional Fraud in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to fraud prevention. Use your analytical skills to showcase how you’d tackle real-world challenges in the role.
✨Tip Number 3
Don’t just apply; follow up! A quick email to express your enthusiasm after submitting your application can set you apart. It shows you're genuinely interested and proactive.
✨Tip Number 4
Check out our website for the latest job postings and updates. We’re always looking for talented individuals like you, so make sure you’re in the loop!
We think you need these skills to ace Specialist, Transactional Fraud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Specialist, Transactional Fraud role. Highlight your experience with SQL and Python, and any relevant fraud prevention work you've done. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fraud prevention and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Analytical Skills: Since this role involves analysing complex datasets, make sure to showcase your analytical skills in your application. Mention specific projects or experiences where you've successfully used data to solve problems or improve processes.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at NewDay Ltd
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your data analysis skills and be ready to discuss how you've used these tools in past experiences to tackle fraud-related challenges.
✨Stay Ahead of Fraud Trends
Research current trends in transactional fraud and think about how you can apply this knowledge to develop innovative prevention strategies. Be prepared to share your insights during the interview and demonstrate your proactive mindset.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed complex datasets in previous roles. Highlight specific instances where your analytical skills led to improved fraud outcomes or operational efficiencies, as this will resonate with the interviewers.
✨Emphasise Collaboration
This role requires working closely with various teams, so be ready to discuss your experience collaborating with others. Share examples of successful projects where teamwork was key, and how you contributed to a positive team dynamic.