EY
graduate job
Expires13 days

Associate Forensic Data Analytics

Still recruiting throughout COVID‑19

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 (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 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 and 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
  • Be involved in the end to end lifecycle of projects - 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
  • Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime
  • 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 and innovation

What we offer

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:

  • 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.

What we are looking for

  • Demonstrable proficiency in SQL and a broad awareness of programming languages such as Python, R, C#, JavaScript as well as Visualization techniques
  • Ability to work independently and learn new technologies as needed
  • 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

  • Previous consulting experience and experience with any of the below areas would be an added benefit:
  • 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, pattern recognition, NLP etc;
  • 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.

Qualifications

Strong academic qualifications with a degree in a STEM discipline (computer science, engineering, statistics, mathematics, etc.) or equivalent work experience.

Accepted degree subjects

Any

Additional job details

Location
Belfast
Salary
Competitive salary

Contract, dates and working times

Full-time

How to apply

Click Apply to start your application now. This job will be available on Prospects until 30 April 2021

Don't forget to mention Prospects to employers when you contact them.

Closing date:  30 April 2021

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Expires13 days

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