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- Tasks: Analyse data to identify fraud trends and optimise merchant performance.
- Company: Join Signifyd, a leader in empowering online retailers against fraud.
- Benefits: Competitive salary, 20 days leave, free snacks, and LinkedIn Learning access.
- Why this job: Make a real impact in the fight against fraud while gaining valuable experience.
- Qualifications: Pursuing or completed a degree in relevant fields; data analysis skills preferred.
- Other info: Flexible remote work options and a vibrant team culture.
The predicted salary is between 500 - 1500 £ per month.
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower fearless commerce by helping online retailers provide superior customer experiences and eliminate fraud.
As the Risk Analyst Intern, you will join a team of dedicated fraud experts in our Risk Intelligence team who play a pivotal role in fighting fraud and helping our customers succeed. You will be responsible for maximising model performance, reviews of online transactions, providing fraud insights, outwitting fraudsters and supporting key merchants to understand their fraud pressures. You will make a big impact to advance the payment risk decisioning to the next level.
Responsibilities
- Analyse large data sets to identify and extrapolate fraud trends & revenue maximisation opportunities.
- Proposing effective and refined solutions.
- Monitor and optimise merchant performance.
- Identify fraud patterns, trends and emerging threats.
- Produce analytical reports that provide actionable insights on fraud patterns.
- Describe and explain fraud trends to merchants and non-fraud departments.
- Identify ideas for new Machine Learning features or rules, working closely with Decision Science teams to improve model performance.
- Develop and recommend rule strategies and model adjustments to effectively manage fraud exposure.
- Monitor and protect merchant approval rates to ensure fraud controls do not negatively impact performance.
- Keep up to date on the latest fraud trends, researching web (dark and surface) and industry, and suggest counter measures.
About you
- You possess an exceptional ability to make decisions with limited and conflicting information.
- You should have strong data analysis and interpretation skills.
- You have strong critical thinking skills with advanced judgment capability.
- An ability to manage multiple assignments while working independently.
- Strong communication & presentation skills with internal and external stakeholders.
- Competent use of G‑suite (Doc, Sheets, Slides) / Microsoft Office (Excel).
Desirable Skills
- Data analytics & end user software (Looker or SQL)
Working Pattern
10:00 - 18:00
To know if we’re a great fit for you, you’ll:
- Be working towards or completed a degree in Business Technology, Business Analytics, Financial Technology, Finance, Economics, Business Management or Business Economics.
- Experience with data analytics & end user software such as Looker or SQL is a bonus but not required.
What will you get in return
- A base salary of £26,250
- 20 days of annual leave plus 10 public holidays
- Free snacks and drinks in the office
- A LinkedIn Learning account
- Have a great setup and working environment to help you do your job
- Take part in (or drive) our social/community events
Application and Interview details
Please attach your most up to date CV. Interviews will take place March 2026. Start Date: Summer 2026. Length of Internship: 12 months.
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. We also want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Risk Intelligence Intern in Belfast employer: Signifyd
Contact Detail:
Signifyd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Intelligence Intern in Belfast
✨Tip Number 1
Get to know the company inside out! Before your interview, dive into Signifyd's mission and values. Understanding how they empower merchants will help you connect your skills to their goals, making you a standout candidate.
✨Tip Number 2
Practice makes perfect! Run through common interview questions related to fraud analysis and data interpretation. We can’t stress enough how important it is to articulate your thought process clearly, especially when discussing complex topics like fraud trends.
✨Tip Number 3
Show off your analytical skills! Bring examples of past projects or experiences where you’ve successfully identified patterns or proposed solutions. This will demonstrate your ability to think critically and make data-driven decisions, which is key for the Risk Intelligence Intern role.
✨Tip Number 4
Don’t forget to ask questions! Prepare thoughtful questions about the team’s current challenges or recent fraud trends. This shows your genuine interest in the role and helps you gauge if Signifyd is the right fit for you. And remember, apply through our website for the best chance!
We think you need these skills to ace Risk Intelligence Intern in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Risk Intelligence Intern role. Highlight any relevant experience or skills that match the job description, especially in data analysis and fraud detection. We want to see how you can contribute to our mission!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your studies or previous experiences where you've analysed data or tackled challenges. This will help us see your critical thinking and problem-solving abilities in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon and make sure your ideas flow logically. We appreciate straightforward communication, so let’s keep it simple and effective!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Signifyd
✨Know Your Fraud Trends
Before the interview, dive deep into current fraud trends and patterns. Familiarise yourself with recent cases and how they were handled. This will not only show your interest in the role but also demonstrate your analytical skills and ability to stay updated in a fast-paced environment.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis tools like G-suite or SQL. Bring examples of how you've used data to solve problems or make decisions in the past. This will highlight your technical abilities and your readiness to contribute to the Risk Intelligence team.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll be interacting with both technical and non-technical stakeholders, being able to communicate effectively is key. Consider doing mock interviews with friends to refine your presentation skills.
✨Demonstrate Your Problem-Solving Mindset
Think of specific instances where you've tackled challenges or proposed solutions in previous roles or projects. Be ready to share these examples during the interview to illustrate your critical thinking and decision-making capabilities, which are crucial for a Risk Analyst Intern.