At a Glance
- Tasks: Analyze fraud trends and develop detection strategies for financial services clients.
- Company: Join EY, a global leader in professional services with a focus on inclusivity and innovation.
- Benefits: Enjoy continuous learning, flexible work options, and a diverse culture that values your voice.
- Why this job: Make a real impact by preventing fraud and enhancing client trust in a dynamic environment.
- Qualifications: Experience in fraud analysis, data analytics tools like Python and SQL, and strong communication skills required.
- Other info: Opportunity to work on high-profile cases and collaborate with various stakeholders.
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
Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London employer: EY
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
Familiarize yourself with the latest trends in fraud detection and prevention. Stay updated on emerging fraud tactics and technologies, as this knowledge will help you stand out during discussions with the hiring team.
✨Tip Number 2
Network with professionals in the forensic data analytics field. Attend industry events or webinars to connect with current employees at EY or similar firms, which can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your analytical skills by preparing case studies or examples of past projects where you successfully identified and mitigated fraud risks. This practical experience will showcase your expertise and problem-solving abilities.
✨Tip Number 4
Highlight your proficiency in data analytics tools like Python, SQL, and Power BI during interviews. Be ready to discuss specific instances where you've used these tools to drive results in fraud detection or prevention.
We think you need these skills to ace Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the key responsibilities and skills required for the Senior Fraud Analyst position. Tailor your application to highlight your relevant experience in fraud detection and data analytics.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proven experience in fraud analysis, including specific tools and technologies you have used, such as Python, SQL, and Power BI. Provide examples of how you've successfully implemented fraud detection strategies in previous roles.
Showcase Problem-Solving Skills: Demonstrate your strong problem-solving abilities by providing examples of how you've tackled complex fraud-related challenges. Use data storytelling techniques to explain your thought process and the impact of your solutions.
Express Your Unique Perspective: EY values diverse voices and perspectives. In your application, share your unique insights on emerging fraud trends and how you can contribute to the team’s success. This will help you stand out as a candidate who aligns with their inclusive culture.
How to prepare for a job interview at EY
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analytics tools like Python or SQL to identify fraud trends. Highlight your experience in developing and implementing fraud detection strategies.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare to explain how you approached complex fraud cases in the past and the outcomes of your interventions.
✨Communicate Clearly
Since you'll be explaining fraud risks to non-experts, practice articulating complex concepts in simple terms. This will showcase your ability to communicate effectively with diverse stakeholders.
✨Emphasize Collaboration Experience
Discuss your experience working with various teams and stakeholders. Provide examples of how you managed multiple priorities and delivered high-quality solutions in a collaborative environment.