Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London
Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London

Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • 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 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: Embrace autonomy and creativity in a role that values your unique perspective and voice.

The predicted salary is between 43200 - 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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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 tools like Feedzai and NICE Actimize, as well as data analytics techniques such as machine learning. This knowledge will help you speak confidently about your expertise during interviews.

✨Tip Number 2

Network with professionals in the forensic data analytics field. Attend industry events or webinars to connect with others who work in fraud analysis. Building these relationships can provide valuable insights and potentially lead to referrals for job opportunities.

✨Tip Number 3

Prepare to discuss real-world examples of how you've successfully identified and mitigated fraud risks in previous roles. Being able to share specific cases will demonstrate your problem-solving skills and practical experience to potential employers.

✨Tip Number 4

Showcase your communication skills by practising how to explain complex fraud concepts to non-experts. This is crucial in a role where you'll need to collaborate with various stakeholders. Clear communication can set you apart from other candidates.

We think you need these skills to ace Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London

Fraud Detection and Prevention
Data Analytics
Python
SQL
Power BI
Risk Assessment
Problem-Solving Skills
Communication Skills
Data Storytelling
Knowledge of Financial Crime Regulations
Experience with Fraud Detection Systems (e.g., Feedzai, FeatureSpace, BioCatch)
Stakeholder Management
Analytical Thinking
Attention to Detail

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.

Showcase Your Technical Skills: Clearly outline your proficiency in data analytics tools and technologies. Provide examples of how you've used these tools in past roles to develop effective fraud detection strategies or conduct risk assessments.

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 multiple priorities and delivered high-quality solutions in team settings.

How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd

✨Understand the Role

Make sure you thoroughly understand the responsibilities of a Senior Fraud Analyst. Familiarise yourself with the specific fraud detection strategies and data analytics tools mentioned in the job description, such as Python, SQL, and Power BI.

✨Showcase Your Experience

Prepare to discuss your previous experience in fraud analysis and how you've implemented improvements in fraud detection systems. Be ready to provide examples of how you've identified and mitigated fraud risks in past roles.

✨Demonstrate Problem-Solving Skills

Be prepared to tackle hypothetical scenarios during the interview. Practice articulating your thought process when analysing fraud trends and developing actionable recommendations, showcasing your problem-solving abilities.

✨Communicate Effectively

Since strong communication skills are essential for this role, practice explaining complex fraud concepts in simple terms. This will help demonstrate your ability to convey important information to non-experts, which is crucial for client interactions.

Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London
Ernst & Young Advisory Services Sdn Bhd
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