Specialist, Transactional Fraud
Specialist, Transactional Fraud

Specialist, Transactional Fraud

Full-Time 45000 - 55000 £ / year (est.) No home office possible
NewDay

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 customer experience.
  • Benefits: Inclusive culture, flexible working options, and opportunities for personal growth.
  • Other info: Diverse and inclusive workplace that values your unique contributions.
  • Why this job: Make a real impact by combating fraud and enhancing customer experiences.
  • Qualifications: Experience with SQL and Python; strong analytical and problem-solving skills.

The predicted salary is between 45000 - 55000 £ 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 employer: NewDay

At NewDay, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diversity and inclusion, ensuring every team member can contribute their unique perspectives. Located in a vibrant area, we provide a supportive atmosphere that prioritises both professional development and a strong customer-centric approach, making it a rewarding place to advance your career in fraud prevention.
NewDay

Contact Detail:

NewDay Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Specialist, Transactional Fraud

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨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 they face at NewDay.

✨Tip Number 3

Show off your skills! If you’ve got experience with SQL or Python, consider creating a small project or analysis that demonstrates your capabilities. Bring this along to interviews to impress the hiring team.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at NewDay.

We think you need these skills to ace Specialist, Transactional Fraud

SQL
Python
Data Analysis
Problem Solving
Attention to Detail
Creative Mindset
Microsoft Office (Excel, Word, PowerPoint)
Fraud Prevention Strategies
Data Visualisation (Tableau, Power BI)
Understanding of Payments Ecosystem
Experience with Fraud Tools (Falcon, Featurespace, ThreatMetrix, Outseer, Hunter, First Vision)
Collaboration Skills
Analytical Techniques
Operational Effectiveness

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with SQL, Python, and fraud prevention. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!

Show Off Your Analytical Skills: Since this role involves analysing complex datasets, give us examples of how you've used data analysis in past roles. We love seeing how you’ve turned insights into action, so be specific about your contributions!

Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and gets straight to the point.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at NewDay

✨Know Your Data Tools

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past roles to analyse data and solve problems. Having specific examples will show that you're not just familiar with the tools, but that you can apply them effectively.

✨Stay Ahead of Fraud Trends

Research current trends in transactional fraud and be prepared to discuss how you would design data-led prevention strategies. Showing that you’re proactive and have a creative mindset will impress the interviewers and demonstrate your commitment to staying ahead of the curve.

✨Highlight Your Collaborative Spirit

This role requires working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Talk about any initiatives you've led or supported that involved cross-functional teamwork, especially in fast-paced environments.

✨Customer-Centric Mindset

Emphasise your understanding of the importance of customer experience in fraud prevention. Prepare to discuss how your decisions in previous roles have protected and enhanced customer experiences, as this aligns perfectly with NewDay's mission.

Specialist, Transactional Fraud
NewDay

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