Forensic Data Analytics Manager - Auckland


The FDA team is a global group of technical specialists that practice the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep forensic investigation knowledge with advanced data analytics techniques such as investigative data linking, social network analysis, natural language processing, machine learning algorithms and predictive modelling.
 
Our forensic labs provide leading forensic technology infrastructure and tools necessary to uncover the most complex of frauds and employee misconduct.
 
As a Data Analytics Manager you will actively establish, maintain and strengthen internal and external relationships. With guidance from partners, directors and senior managers, you'll identify potential business opportunities for Ernst & Young. By drawing on your knowledge and experience, you'll create innovative commercial insights for clients, adapt methods and practices to fit operational team and cultural needs, and contribute to thought leadership.
 
You'll actively contribute to improving operational efficiency on projects and internal initiatives and will consistently drive projects to completion, determining that the work is of high quality. Your role in leading teams or parts of teams on engagements will depend on the size of the engagement and will be under the responsibility of senior members of the team.
 
To qualify for the role you must have

  • Strong academic record including a degree/MSc/PhD degree in either Computer Science / Engineering with course work / dissertation in data analytics / data mining subject matter expertise Reactive and proactive forensic analysis of structured and unstructured data;
  • Database management software (SQL Server, Oracle, PostgreSQL, etc.), statistical and predictive machine learning software (SAS, SPSS, R, etc.) and data visualization software (Tableau, Spotfire, etc.);
  • Data extract, transform and load, data quality assessment, data cleansing and enhancing, complex data transformation, relationship profiling, sampling and extrapolation, segmentation, statistical modelling,  structured data mining, and text mining;
  • Statistical analysis and modelling tools such as SAS, SPSS, Statistica, S-plus or similar packages, data manipulation language such as SQL/SAS;
  • Experience with a range of predictive modelling and model optimisation techniques such as regressions, neural networks, CART, k-means clustering, ensemble models and bootstrapping;
  • Understating of data from accounting systems applications such as SAP, PeopleSoft, JD Edwards, Chris21 or other similar ERP/Payroll applications;
  • Helping clients leverage knowledge from their data for measurement of fraud risks and losses, prevention, continuous monitoring, detection and investigation of occupational fraud, waste and abuse, financial crime and other non-compliant activities;
  • Liaising with clients, internal and external auditors, in-house counsel, external legal teams, witnesses, police, criminal prosecutors and regulatory enforcers; &
  • Multi-National /cross border or jurisdictional investigations.

What we look for
 
We’re interested in leaders 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 ability to take initiative and seek out opportunities to improve our current relationships and processes. If you’re serious about forensic data analytics and ready to take on some of our clients’ most complex issues, this role is for you.  
 
What working at EY offers
 
We offer a competitive remuneration package where you’ll be rewarded based on your performance and the value you bring. Our Total Rewards package includes support for flexible working, career development, and an extensive range of wellbeing and benefit offerings. We are happy to consider formal and informal flexible working arrangement. To find out how some of our people are using these arrangements to help them achieve a lifestyle balance, please click here.
 
Who we are
 
EY is an inclusive and equal opportunity employer offering a vast range of internal networks including Unity, our LGBTI network and our Aboriginal and Torres Strait Islander network. These provide our people with the opportunity to connect across offices and allow us all to embrace and value the diverse society we live within.  We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.
 
About EY
 
As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, knowledge 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.
 
Join us in building a better working world.
 
Apply now.
 
The preferred applicant will be subject to employment screening by EY or by their external third party provider.
 
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