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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, helping clients build trust and create long-term value.
- Benefits: Enjoy continuous learning, flexible work options, and a diverse, inclusive culture that values your voice.
- Why this job: Make a real impact by developing fraud detection strategies and collaborating with top financial services clients.
- 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 lead initiatives in a supportive 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.
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 analyze 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!
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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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
Familiarise yourself with the latest trends in fraud detection and prevention. Stay updated on tools like Feedzai and NICE Actimize, as well as emerging fraud tactics. This knowledge will help you engage in meaningful conversations during interviews.
✨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. Building these relationships can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data analytics tools like Python and SQL. Be ready to share specific examples of how you've used these tools to identify fraud trends or develop detection strategies in past roles.
✨Tip Number 4
Showcase your problem-solving skills by preparing case studies or scenarios where you successfully mitigated fraud risks. This will demonstrate your ability to think critically and apply your expertise in real-world situations.
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 unique skills align with the role. Mention specific projects or experiences that demonstrate your ability to identify and mitigate fraud risks.
Showcase Your Technical Skills: Clearly outline your proficiency in data analytics tools and technologies. Provide examples of how you've used these tools to develop fraud detection strategies or conduct risk assessments in previous roles.
Highlight Collaboration Experience: Since the role involves working with various stakeholders, emphasise your experience in collaborative environments. Share examples of how you've successfully managed priorities and delivered high-quality solutions in team settings.
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 actionable recommendations.
✨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 the role you're applying for.
✨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. Use clear examples to illustrate your points during the interview.
✨Demonstrate Initiative and Creativity
EY values professionals who take initiative and have a creative vision. Be ready to discuss how you've proactively sought out opportunities to improve fraud detection systems or processes in your previous roles, showcasing your ability to think outside the box.