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

Company:
Location: London

*** Mention DataYoshi when applying ***

Forensic Data Analytics – Senior Data Analyst – London

EY’s Forensic Data Analytics (FDA) 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 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

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
  • 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 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.

Apply now.
Who we are

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.

*** Mention DataYoshi when applying ***

Offers you may like...

  • Discover Financial Services

    Senior Data Engineer
    Remote
  • STX Next Sp z.o.o

    Senior Data Engineer
    Poznań, wielkopolskie
  • Smart-HR

    Senior Data Engineer
    zdalnie
  • Luxoft

    Senior Data Engineer
    Warszawa, mazowieckie
  • Morgan McKinley

    Senior Data Engineer (Technical)
    Cork