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- Tasks: Investigate complex fraud cases and enhance detection processes.
- Company: Join a dynamic financial services team focused on fraud prevention.
- Benefits: Enjoy perks like private medical insurance, gym discounts, and hybrid work options.
- Why this job: Make a real impact in fraud detection while collaborating with diverse teams.
- Qualifications: Experience in fraud analysis and proficiency in SQL and Python required.
- Other info: Casual dress code and regular team socials create a fun work environment.
The predicted salary is between 43200 - 72000 £ per year.
This range is provided by Barclay Simpson. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Are you an experienced fraud analyst looking to take on a senior role in a fast-paced financial services environment? We are seeking a Senior Fraud Analyst to play a key role in fraud detection, investigation, and prevention. This position offers the opportunity to work cross-functionally with Fraud, Data Science, Product, Compliance, and external partners to optimise fraud detection processes, enhance fraud models, and mitigate financial risk.
Key Responsibilities
- Investigate and manage complex fraud cases, working closely with both internal teams and outsourced fraud operations (BPO).
- Analyse fraud patterns, conduct root cause assessments, and implement preventive measures to reduce risk.
- Support the continuous improvement of fraud policies and account review processes.
- Oversee outsourced fraud detection activities, ensuring alignment with SLAs and KPIs.
- Provide guidance and feedback on complex fraud cases escalated by BPO teams.
- Identify and address gaps in fraud detection processes.
- Use advanced data analysis techniques to monitor fraud trends and drive process improvements.
- Develop and maintain dashboards tracking fraud KPIs, losses, and recovery rates.
- Prepare detailed reports on fraud performance for senior stakeholders.
What We’re Looking For
- Experience in fraud analysis, ideally within financial services.
- Strong analytical and investigative skills.
- Proficiency in SQL and Python for fraud analysis.
- Experience with fraud prevention tools (CIFAS, Onfido, Experian, GBG).
- Ability to collaborate effectively with internal and external teams.
- Certifications such as CFE or CAMS are highly desirable.
- A degree in Mathematics, Statistics, Engineering, Computer Science, or Finance is an advantage.
Benefits
- Pension scheme, share options & 5% cashback on in-app purchases.
- £200 for home office setup.
- Private medical insurance (including GP consultations, prescriptions, mental health support, optical & dental cover).
- Employee Assistance Programme with unlimited mental health sessions & 24/7 GP access.
- Gym membership discounts & wellbeing consultations.
- Enhanced maternity, paternity, adoption, and shared parental leave.
- Support for professional qualifications & memberships.
- Access to e-learning, internal training, and FCA regulatory training.
- Hybrid working, casual dress code & regular team socials.
- Healthy office snacks.
Join a forward-thinking team and help drive fraud prevention in a dynamic, fast-growing financial services environment.
Seniority level
Associate
Employment type
Full-time
Job function
Legal, Accounting/Auditing, and Other
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Senior Fraud Analyst employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Fraud Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in fraud detection and prevention. Stay updated on new tools and technologies, especially those mentioned in the job description like CIFAS and Onfido, as this knowledge will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those who specialize in fraud analysis. Engaging with industry peers can provide insights into best practices and may even lead to referrals for the position.
✨Tip Number 3
Prepare to discuss specific examples of complex fraud cases you've managed in the past. Highlight your analytical skills and how you've used SQL and Python to drive improvements in fraud detection processes.
✨Tip Number 4
Showcase your ability to collaborate effectively by preparing examples of cross-functional projects you've worked on. Emphasizing your teamwork skills will demonstrate that you're a good fit for the collaborative environment at StudySmarter.
We think you need these skills to ace Senior Fraud Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fraud analysis, especially within financial services. Emphasize your analytical skills and any relevant tools you have used, such as SQL and Python.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the Senior Fraud Analyst role. Discuss specific experiences where you successfully managed complex fraud cases or improved fraud detection processes.
Showcase Relevant Skills: Clearly outline your proficiency with fraud prevention tools like CIFAS, Onfido, and Experian. Mention any certifications you hold, such as CFE or CAMS, to strengthen your application.
Prepare for Technical Questions: Be ready to discuss your experience with data analysis techniques and how you've used them to monitor fraud trends. Prepare examples of how you've collaborated with internal and external teams to enhance fraud detection.
How to prepare for a job interview at Barclay Simpson
✨Showcase Your Analytical Skills
As a Senior Fraud Analyst, your analytical and investigative skills are crucial. Be prepared to discuss specific examples of how you've used data analysis techniques, like SQL and Python, to identify fraud patterns and implement preventive measures.
✨Demonstrate Cross-Functional Collaboration
This role requires collaboration with various teams. Share experiences where you've successfully worked with internal teams or external partners to optimize fraud detection processes. Highlight your ability to communicate effectively across different functions.
✨Prepare for Technical Questions
Expect questions related to fraud prevention tools and advanced data analysis techniques. Brush up on your knowledge of tools like CIFAS, Onfido, and others mentioned in the job description, and be ready to explain how you've utilized them in past roles.
✨Discuss Continuous Improvement Initiatives
The company values continuous improvement in fraud policies and processes. Be ready to talk about any initiatives you've led or contributed to that enhanced fraud detection or reduced financial risk, showcasing your proactive approach.
