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- Tasks: Join our Forensic Data Analytics team to tackle fraud and financial crime using advanced data techniques.
- Company: EY is a global leader in assurance, tax, transaction, and advisory services, committed to building a better working world.
- Benefits: Enjoy a supportive culture, flexible work options, and opportunities for personal and professional growth.
- Why this job: Make a real impact by helping clients combat fraud while developing your skills in a dynamic environment.
- Qualifications: Experience in fraud analysis, data analytics tools like Python and SQL, and strong problem-solving skills are essential.
- Other info: This role offers autonomy and the chance to collaborate with diverse stakeholders on high-profile projects.
The predicted salary is between 36000 - 60000 £ 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, 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.
Assurance Specialist - Ernst & Young employer: Ernst & Young
Contact Detail:
Ernst & Young Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assurance Specialist - Ernst & Young
✨Tip Number 1
Familiarise yourself with the latest trends in fraud detection and prevention. Stay updated on tools like Feedzai, FeatureSpace, and NICE Actimize, as well as data analytics technologies such as Python and SQL. This knowledge will not only help you during interviews but also demonstrate your commitment to the field.
✨Tip Number 2
Network with professionals in the forensic data analytics space. Attend industry events, webinars, or join relevant online forums. Building connections can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Prepare to discuss real-world examples of how you've identified and mitigated fraud risks in previous roles. Be ready to explain your thought process and the impact of your actions. This will showcase your expertise and problem-solving skills, which are crucial for the Assurance Specialist position.
✨Tip Number 4
Demonstrate your ability to communicate complex data findings to non-experts. Practice explaining technical concepts in simple terms, as this skill is essential for collaborating with clients and stakeholders. Highlighting this ability can set you apart from other candidates.
We think you need these skills to ace Assurance Specialist - Ernst & Young
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Assurance Specialist position at Ernst & Young. Make sure you understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in fraud analysis and data analytics. Be specific about the tools you've used, such as Python or SQL, and any successful projects you've completed that relate to fraud detection.
Showcase Problem-Solving Skills: Provide examples of how you've tackled complex problems in previous roles. Use clear, concise language to describe your thought process and the outcomes of your actions, demonstrating your ability to communicate effectively.
Personalise Your Application: Make your application stand out by personalising it. Mention why you are specifically interested in working for Ernst & Young and how your values align with their mission to build a better working world.
How to prepare for a job interview at Ernst & Young
✨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 Fraud Landscape
Familiarise yourself with current fraud trends and scams, especially those relevant to financial services. Being able to discuss recent cases or emerging threats will show your passion for the field and your proactive approach to staying informed.
✨Communicate Clearly
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. This will demonstrate your ability to be a subject-matter expert while remaining approachable.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about past experiences where you've had to implement fraud detection strategies or collaborate with stakeholders, and be ready to share how you approached these challenges.
