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For Companies At a Glance
- Tasks: Analyse fraud trends and develop strategies to combat financial crime.
- Company: Join EY, a global leader in financial services with an inclusive culture.
- Benefits: Flexible working, continuous learning, and transformative leadership opportunities.
- Why this job: Make a real impact in fighting fraud and enhancing client security.
- Qualifications: Experience in fraud analysis and proficiency in data analytics tools.
- Other info: Dynamic role with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 ÂŁ 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.
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.
Assurance - Financial Services - 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 - Forensic Data Analyst - Senior - London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EY through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into EY's recent projects in forensic data analytics. Show us that you’re not just another candidate; demonstrate your passion and knowledge about the field!
✨Tip Number 3
Practice your data storytelling skills. You’ll need to explain complex fraud risks to non-experts, so make sure you can break down your insights in a clear and engaging way.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Assurance - Financial Services - Forensic Data Analyst - Senior - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Fraud Analyst. Highlight your experience with fraud detection systems and data analytics tools like Python and SQL. We want to see how your unique skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your passion for forensic data analysis and how you've tackled fraud-related challenges in the past. Be genuine and let your personality come through!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you’ve successfully identified and mitigated fraud risks. We love seeing how you approach problem-solving and the impact of your solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at EY!
How to prepare for a job interview at EY
✨Know Your Fraud Fundamentals
Make sure you brush up on the latest trends in fraud detection and prevention. Familiarise yourself with key concepts like APP scams and money mules, as well as the systems used to combat these issues. This will show your interviewers that you're not just knowledgeable but also genuinely interested in the field.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analytics tools like Python, SQL, and Power BI. Bring examples of how you've used these tools to identify trends or develop recommendations in past roles. This practical knowledge will set you apart from other candidates.
✨Communicate Clearly
Since you'll be explaining complex fraud risks to non-experts, practice your data storytelling skills. Think about how you can break down intricate concepts into simple terms. This will demonstrate your ability to communicate effectively with a diverse range of stakeholders.
✨Emphasise Your Initiative
EY values professionals who take initiative. Prepare examples of times when you've proactively sought out opportunities to improve processes or relationships. This will highlight your creative vision and energy, which are essential for success in this role.
