We'll have you working with Australia's most respected companies
Great opportunity to work closely with market leading team
Build your expertise within a supportive, positive and inclusive culture
At KPMG Forensic we bring together technical and subject matter experts from a range of areas to help clients prevent or reduce reputational risk, investigate and remediate issues. Our team includes forensic accountants, investigators, data analysts, remediation specialists, forensic technology practitioners and financial crime professionals (just to name a few). We love our work and we are very excited to be looking for new people to join our Forensic team!
We have an opportunity in our national practice for an Associate Director / Senior Manager to join our Data Analytics team. In this space we work side by side with our clients to identify, investigate and remediate a variety of current and historic issues.
Your new role
As am Associate Director in the Forensic team, you will:
Work with leading global organisations, regulators and law firms, as well as range of specialist departments within KPMG, to formulate and document requirements for identifying, investigating, and analysing business processes, functions and control frameworks, using data driven solutions
Scope and carry out day-to-day management of engagements, including liaising with clients, assessing and analysing data and documentation, and managing junior resources
Draft clear and concise reports that meet the clients' needs and expectations within agreed timeframes, including delivering insights in respect of identified control breakdowns, inefficiencies and optimisation of practices and system configuration
Utilise technology driven solutions in assisting clients proactively mitigate and detect indicators of fraud, corruption and other forms of serious non-compliance (e.g. through the use of forensic data analytics)
Developing and implementing data driven functional solutions
Coordinate multiple projects and workstreams, working closely with Forensic technology, and other KPMG departments where applicable
Provide on the job training and mentoring to junior staff, and contribute to team networking, innovation and thought leadership publications
Perform exploratory data analysis on disparate data sources
Perform hypothesis testing to prove/disprove hypotheses
Work with large transactional databases; follow complex financial trails between various entities
Develop test cases and scenarios to sample test data
Create interactive, intuitive reports and dashboards to draw insights from the data
Provide the 'so-what's?' from the data that is not evident at first glance
You bring to the role
Ideally, the successful candidate will have a range of skills, experience and qualifications including the following:
Demonstrated experience in scoping, managing and delivering engagements
Minimum 7 years' experience in relevant roles with a large professional consulting environment, or an in-house analytics team
Business development skills to identify how to help clients solve some of their most complex and difficult problems associated with fraud, corruption and other serious misconduct.
Strong attention to detail and ability to handle and analyse complex information (financial / accounting insight is favourable)
Excellent communication skills, including the ability to review and articulate detailed findings in both written and oral presentations for a variety of audiences
Excellent time management, organisation and digital working skills
Proven leadership, people and stakeholder management capabilities, including the ability to manage a team of junior staff and manage multiple engagements concurrently
Understanding process and data flows across multiple, often disparate systems & databases and the ability to create process flow maps and explain them to key stakeholders
Degree holder with an Analytics, MIS, Statistics, Computing, Accounting or similarly relevant background
Tool agnostic data cleansing, manipulation & formatting skills using SQL
Automation - Knowledge of Python / Visual Basic Scripting desirable
SQL - Strong MS SQL / Teradata SQL / Oracle MySql required
Data Visualisation - Tableau / Power BI / Qlikview required
Microsoft Suite - Advanced Excel skills required. VBA scripting to develop excel macros a plus.
SAS - Knowledge of Base SAS (Win or UNIX) / SAS E-Guide / SAS E-Miner preferred
Statistical knowledge - predictive modeling (linear & logistic, simple & multivariate regression techniques) is a plus
Having worked in an agile environment is desirable
How are you Extraordinary?
We're interested in more than just technical skills, we look for potential. How you grow matters to us. We're looking for people hungry to learn, with an intellectual curiosity and enthusiasm that is waiting to be tapped to help solve our client's biggest challenges.
The KPMG Difference
At KPMG, we're passionate about creating an inclusive workplace that promotes and values diversity. We believe that everyone's unique experiences enable us to deliver meaningful benefits for our people, our clients and communities. We welcome and encourage applications from people of all backgrounds, ages, religions, including Aboriginal and Torres Strait Islander Peoples, LGBTIQ+ people, those with a disability, women and people with a cultural or linguistically diverse background.
We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life.
KPMG has a decade-long, proud commitment to Indigenous Australia, as demonstrated by the achievement of an Elevate level Reconciliation Action Plan. KPMG is a foundation member and Principal Partner of Pride in Diversity started in Australia by ACON and the Diversity Council of Australia, and is recognised in the Australian Workplace Equality Index(AWEI) which evaluates LGBTIQ+ inclusiveness in the workplace. KPMG Australia has been consistently recognised as an Employer of Choice in the Australian Government's Workplace Gender Equality Agency(WGEA) annual index.
Advertised: 12 Oct 2021 AUS Eastern Daylight Time Applications close: 23 Nov 2021 AUS Eastern Daylight Time