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- Tasks: Join our Forensic Data Analytics team to tackle fraud and financial crime using advanced data solutions.
- Company: EY is a global leader in assurance, helping clients build a better working world.
- Benefits: Enjoy flexible working arrangements, competitive pay, and a comprehensive rewards package tailored to your needs.
- Why this job: Make a real impact by preventing fraud while developing your skills in a diverse and inclusive environment.
- Qualifications: Experience in fraud analysis, data analytics tools like Python and SQL, and strong problem-solving skills required.
- Other info: This role offers autonomy and the chance to collaborate with top financial services clients.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Other locations: Primary Location Only
Date: Mar 19, 2025
Requisition ID: 1583638
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.
Please note:Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity& inclusiveness here. We ask because it matters!
What we offer
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions.
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Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd 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 the skills and experiences that are highly valued by employers like EY.
✨Tip Number 3
Demonstrate your problem-solving abilities through real-world examples. Be prepared to discuss specific instances where you've successfully identified and mitigated fraud risks, showcasing your analytical skills and strategic thinking.
✨Tip Number 4
Research EY's culture and values thoroughly. Understanding their commitment to diversity and inclusion will help you align your personal values with theirs, making you a more attractive candidate during interviews.
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. Use keywords from the job description, such as 'fraud detection', 'data-driven analysis', and specific tools like Python and SQL to catch the employer's attention.
Craft a Compelling Cover Letter: In your cover letter, express your passion for forensic data analysis and how your skills align with the role. Mention specific projects or experiences that demonstrate your ability to identify and mitigate fraud risks, showcasing your problem-solving skills.
Showcase Relevant Skills: Highlight your proficiency in data analytics tools and technologies mentioned in the job description. Provide examples of how you've used these tools to develop effective fraud detection strategies or improve existing systems.
Prepare for Potential Questions: Anticipate questions related to your experience with fraud detection and prevention. Be ready to discuss specific cases where you successfully identified fraud trends or implemented solutions, demonstrating your expertise and thought process.
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨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 in the financial services sector. During the interview, share your insights on recent developments and how they could impact clients, showcasing your expertise in the field.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex fraud risks and controls in simple terms, as you may need to convey these concepts to non-experts. This will demonstrate your ability to be a subject-matter expert.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about past experiences where you've had to implement fraud detection systems or collaborate with stakeholders to manage priorities, and be ready to discuss your approach and outcomes.