Mission Statement & Summary
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.
PermanentNewDay London, England Office
7 Handyside Street, London, United Kingdom, N1C 4DA
