We are looking for a Forensics Data Analytics Manager within the Forensics & Integrity Services team in Auckland, New Zealand.
Forensic Data Analytics team members play a key role in analysing client data related to fraudulent activities and in identifying patterns and characteristics of fraud related behaviour.
The team provides analytical support for forensic client engagements, identifies fraud trend metrics for a variety of industries and provides advice to clients regarding how to detect and prevent fraud within their businesses.
Within the Forensics and Integrity Services (FIS) area, you will become a vital member of the team, working alongside both forensic specialists and the broader EY team to effect significant change within our clients’ organisations.
Your key responsibilities
Managers in our Forensics & Integrity team will be :
Developing, supporting and maintaining analytical frameworks and quantitative analytics techniques to identify and quantify client fraud risks
Extracting, validating, transforming and loading data from multiple sources for analytics
Undertake extensive analytical reviews of client data to uncover anomalies and unusual behaviour.
Development of new reports, metrics and segmentations for clients to assist them in addressing fraud. This requires consultation with multiple stakeholders;
development of scenario tests, metrics and segmentations; SAS / SQL scripting, testing, and documentation; and finally, reporting and presentation.
Documentation and explanation of fraud metrics, known trends and significant anomalies. This often requires thorough root cause analysis - building complex queries, talking to experts in other areas, and building insightful, short presentations for clients and internal stakeholders.
Management of client engagements.
Providing input into strategic initiatives and programs.
Provide leadership to consultants within the team.
Manage and develop relationships with business partners.
Skills and attributes for success
To qualify for the role you must have :
Tertiary qualification in a relevant field (Finance, Maths, IT, Statistics, Business etc)
Minimum of 5 years of experience in an analyst-type role (i.e. fraud analyst, risk analyst, financial analyst, etc.) or equivalent
Able to hypothesise, analyse and draw conclusions from financial and operational data and perform in-depth root-cause-analysis
Excellent skills querying data using tools such as SAS, SQL, Oracle, etc
A demonstrated ability to clearly and concisely present data, conclusions, and recommendations such that they bring insight and improve clients’ decision making processes
Experience automating processes for efficiency and to reduce errors
Effective written and verbal communication skills and an ability to communicate with impact to both internal and external clients and staff
A team player with strong time and project management skills
Ideally, you’ll also have
Experience in managing and coaching junior staff is desirable
What we offer
Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Continuous learning : personalised career development including coaching, experiences and formal learning so you’ll develop the mindset and skills you’ll need to thrive in the future.
Diverse and inclusive culture : You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
At EY, you’ll be rewarded and recognised based on your performance and our comprehensive benefits package can be tailored to your individual needs.
We understand the importance of social distancing at this time so our recruitment and onboarding process may be managed virtually so we can continue to prioritise the safety and wellbeing of EY people, clients, guests and the broader public.