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

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We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

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 real time fraud detection / prevention, 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.

Your key responsibilities:

Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations

Communicate with clients to scope projects and gather requirements

Highlight and explain the outputs of our analytics to clients in the context of their business

Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery

Handle a large amount of structured and unstructured data from a variety of data sources

Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI.

Supervise the work of junior team members and be responsible for quality control of work products from the team

Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime

Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues

Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients

Align to various strategic teams in the areas of technology, innovation and business development

To qualify for the role, you must have:

Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience

Fraud experience

Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript

Ability to work independently, manage work products and mentor junior team members

Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data

Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds

Ideally, you’ll also have:

Domain knowledge of Financial Crime, Market Abuse, Mis-selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience

Organisational ability, people skills and project management potential

Previous consulting experience and experience with:

Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;

Data visualisation software: Spotfire, Tableau, or Power BI;

Azure cloud computing platform;

Big data technologies such as Spark, Elasticsearch, Hadoop;

Statistical techniques (regression, clustering etc.);

Machine learning and pattern recognition;

Front-end web development e.g. HTML, JavaScript;

We are looking for tenacious and curious individuals with a desire to ‘get to the bottom’ of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships.

What working at EY offers:

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. 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. Plus, we offer:

Support and coaching from some of the most engaging colleagues around

Opportunities to develop new skills and progress your career

The freedom and flexibility to handle your role in a way that’s right for you

About EY:

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we are dedicated to making EY the best employer.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Make your mark.

EY | Building a better working world

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