At a Glance
- Tasks: Analyse fraud trends and develop detection strategies for financial services clients.
- Company: Join EY, a global leader in assurance and consulting, committed to inclusivity and innovation.
- Benefits: Enjoy continuous learning, flexible work options, and a diverse, inclusive culture.
- Why this job: Make a real impact by tackling financial crime and enhancing client security.
- Qualifications: Experience in fraud analysis, data analytics tools like Python and SQL, and strong communication skills required.
- Other info: Opportunity for autonomy and creative input in a supportive team environment.
The predicted salary is between 43200 - 72000 £ per year.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as fraud investigations, financial crime, disputes and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior Fraud Analyst to join our team. In this role, you will work closely with financial services clients to identify and analyse emerging fraud trends, develop, and implement effective fraud detection strategies, and provide expert guidance on fraud and scams prevention. You will collaborate with client teams to manage multiple priorities and deliver high-quality solutions. Acting as a subject-matter expert, you will address third-party fraud, APP scams, and money mules, ensuring clients receive the best advice and support in mitigating fraud risks. You will also have an opportunity to work on other Fin Crime and Litigation matters in this role. Knowledge and experience with: Conducting data-driven analysis of emerging fraud and APP scam attacks, providing actionable recommendations to mitigate risks while balancing customer impact. Developing, testing, implementing, and monitoring fraud detection and prevention strategies, ensuring effectiveness and efficiency. Performing risk assessments of new and existing products/services to identify inherent and residual fraud risks within the product and recommending remediating actions. Collaborating with a wide range of stakeholders to manage priorities and deliver high-quality fraud management solutions. Serving as a subject-matter expert on third-party fraud, APP scams, and money mules, acting as the primary contact for related queries and guidance. Skills and attributes for success: Proven experience in fraud, including knowledge of systems and controls used to detect and prevent fraud and APP scams. Demonstrate ability to implement improvements in fraud detection systems, such as Feedzai/FeatureSpace/BioCatch/Falcon/NICE Actimize etc. Proficient in using data analytics tools and technologies such as Python, SQL and Power BI to identify trends and develop recommendations. Strong problem-solving and communication skills, capable of data storytelling and explaining fraud risks & controls to non-experts. What we look for: We’re interested in professionals with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the energy and ability to take initiative and seek out opportunities to build or improve our current relationships and solutions. What we offer: Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It’s yours to build. Apply now. #J-18808-Ljbffr
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London
✨Tip Number 1
Familiarise yourself with the latest trends in fraud detection and prevention. Stay updated on emerging technologies and methodologies, such as machine learning and data analytics tools like Python and SQL, which are crucial for this role.
✨Tip Number 2
Network with professionals in the forensic data analytics field. Attend industry events or webinars to connect with experts and gain insights into best practices and challenges faced in fraud analysis.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing case studies or examples of how you've successfully identified and mitigated fraud risks in previous roles. This will showcase your practical experience and analytical thinking.
✨Tip Number 4
Prepare to discuss your experience with specific fraud detection systems like Feedzai or NICE Actimize during interviews. Highlight any improvements you've implemented in these systems to show your proactive approach to fraud management.
We think you need these skills to ace Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in fraud analysis and data analytics. Emphasise your proficiency with tools like Python, SQL, and Power BI, as well as any specific systems you've worked with, such as Feedzai or NICE Actimize.
Craft a Compelling Cover Letter: In your cover letter, express your passion for forensic data analysis and your understanding of the financial services sector. Mention specific examples of how you've successfully identified and mitigated fraud risks in previous roles.
Showcase Problem-Solving Skills: Highlight instances where you've used data-driven analysis to solve complex problems. Use clear examples to demonstrate your ability to communicate fraud risks and controls effectively to non-experts.
Research EY's Values: Familiarise yourself with EY's culture and values. In your application, reflect on how your personal values align with theirs, particularly regarding diversity, inclusion, and continuous learning.
How to prepare for a job interview at EY
✨Showcase Your Analytical Skills
As a Senior Fraud Analyst, you'll need to demonstrate your ability to conduct data-driven analysis. Be prepared to discuss specific examples of how you've used data analytics tools like Python or SQL to identify fraud trends and develop effective strategies.
✨Understand the Latest Fraud Trends
Stay updated on emerging fraud trends and scams, especially those relevant to financial services. During the interview, share your insights on recent developments in fraud detection and prevention, and how they could impact EY's clients.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex fraud concepts in simple terms, as you may need to convey these ideas to non-experts. Use examples from your past experiences to illustrate your points.
✨Demonstrate Your Problem-Solving Ability
Prepare to discuss specific challenges you've faced in fraud detection and how you overcame them. Highlight your problem-solving approach and any innovative solutions you implemented, showcasing your ability to think critically under pressure.