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

EY; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global professional services firm is seeking a Senior Fraud Analyst to analyze emerging fraud trends and develop strategies for fraud detection. You will collaborate with financial services clients and provide expert guidance on scams prevention. Ideal candidates will have proven fraud experience, familiarity with data analytics tools like Python and SQL, and the ability to implement improvements in detection systems. Join a diverse and inclusive culture where you can grow your career in London.

Benefits

Continuous learning opportunities

Flexible work tools

Coaching and leadership development

Inclusive workplace culture

Qualifications

• Proven experience in fraud with knowledge on fraud detection systems.
• Ability to implement improvements in fraud detection systems.
• Experience with data analytics tools to identify trends.

Responsibilities

• Identify and analyse emerging fraud trends for financial services clients.
• Develop and implement effective fraud detection strategies.
• Provide expert guidance on fraud and scams prevention.
• Manage multiple priorities to deliver high-quality solutions.

Skills

Fraud detection

Data analytics

Problem-solving

Communication

Tools

Python

SQL

Power BI

Feedzai

FeatureSpace

BioCatch

Falcon

NICE Actimize

Job description

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 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.