EY

Senior Data Analyst - UKI Assurance - Forensic Tec...

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.


EY’s Forensic Data Analytics practice is a global, data-focused team within the Forensic & Integrity Services (FIS) department. Our team supports clients in dealing with the complex issues of fraud, regulatory compliance and business disputes.


The opportunity

The FDA team practices the full life cycle of data analysis from the early stages of data discovery and capture, to its management, analysis and reporting. Our engagements typically require working with large datasets from disparate sources to support investigations, disputes and proactive risk detection. Our projects primarily involve FTSE100 clients covering a wide range of industries such as Life sciences, Oil & Gas, Government and Telecoms.


Your key responsibilities

  • Work with blue chip clients, 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, database management systems, Business Information reporting and visualisation software
  • 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


Skills and attributes for success

  • 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


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
  • Demonstrable proficiency in SQL, Python 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


Ideally, you’ll also have

  • Domain knowledge of 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;


What we look for

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 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!


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.


Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.


Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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