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- Tasks: Develop fraud detection strategies and monitor transaction data to combat payment fraud.
- Company: Join a dynamic fintech focused on cross-border payments and FX innovation.
- Benefits: Enjoy a hybrid work model and competitive salary of £50k - £60k.
- Why this job: Be part of a growing team making a real impact in financial security.
- Qualifications: 2-3 years in fraud prevention with strong analytical skills; SQL knowledge is a plus.
- Other info: Collaborate with teams to enhance fraud response and educate on risk mitigation.
The predicted salary is between 40000 - 84000 £ per year.
A growing fintech specialising in cross-border payments and FX is seeking a Fraud Analyst / Associate with expertise in virtual cards, chargebacks, and payment fraud prevention.
Key Responsibilities:
- Develop and implement fraud detection strategies for card payments and cross-border transactions.
- Monitor and analyse transaction data to identify fraudulent activity and reduce chargeback rates.
- Investigate and manage the full chargeback lifecycle, ensuring compliance with Visa/Mastercard regulations.
- Optimise fraud prevention tools, including machine learning models, to enhance detection accuracy.
- Collaborate with internal teams to improve fraud response protocols and educate stakeholders on risk mitigation.
- Support and monitor pay-by-link payments, ensuring security through 3D Secure and fraud prevention measures.
Key Requirements:
- Minimum of 2-3 years of fraud prevention experience in cards and payment processes within financial services.
- Hands-on experience in chargeback management and dispute resolution.
- Familiarity with Visa/Mastercard fraud alerts (TC40, SAFE) and fraud prevention tools.
- Experience with pay-by-link solutions and 3D Secure protocols.
- Strong analytical skills, with proficiency in data analysis and fraud detection technologies (SQL is a plus).
Fraud Analyst employer: fs talent
Contact Detail:
fs talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in fraud prevention, especially in the fintech sector. Understanding the nuances of virtual cards and chargebacks will give you an edge during interviews.
✨Tip Number 2
Network with professionals in the industry through LinkedIn or relevant forums. Engaging with others who work in fraud analysis can provide insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your analytical skills, particularly in SQL and data analysis. Being able to demonstrate your proficiency in these areas can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've successfully managed chargebacks or implemented fraud detection strategies in your previous roles. Real-world experiences resonate well with interviewers.
We think you need these skills to ace Fraud Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in fraud prevention, particularly in cards and payment processes. Emphasise any hands-on experience with chargeback management and dispute resolution.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about fraud prevention and how your skills align with the responsibilities of the Fraud Analyst role. Mention specific tools or technologies you have used, such as machine learning models or SQL.
Showcase Analytical Skills: Provide examples in your application that demonstrate your strong analytical skills. Discuss any projects where you successfully identified fraudulent activity or optimised fraud detection strategies.
Highlight Collaboration Experience: Since the role involves collaborating with internal teams, mention any previous experiences where you worked with others to improve fraud response protocols or educate stakeholders on risk mitigation.
How to prepare for a job interview at fs talent
✨Showcase Your Experience
Be prepared to discuss your previous roles in fraud prevention, particularly focusing on your hands-on experience with chargeback management and dispute resolution. Highlight specific examples where you successfully identified and mitigated fraud risks.
✨Understand the Tools
Familiarise yourself with the fraud prevention tools mentioned in the job description, such as machine learning models and 3D Secure protocols. Be ready to explain how you've used these tools in past roles to enhance detection accuracy.
✨Demonstrate Analytical Skills
Since strong analytical skills are crucial for this role, prepare to discuss your proficiency in data analysis. If you have experience with SQL, be sure to mention it and provide examples of how you've used data to identify fraudulent activities.
✨Collaborative Mindset
The role involves collaborating with internal teams, so be ready to talk about your experience working with different departments. Share examples of how you've educated stakeholders on risk mitigation and improved fraud response protocols in your previous positions.
