Forensic Data Analytics Professional Forensic Data Analytics Professional …

KPMG
in Sydney, New South Wales, Australia
Permanent, Full time
Be the first to apply
Competitive
KPMG
in Sydney, New South Wales, Australia
Permanent, Full time
Be the first to apply
Competitive
Forensic Data Analytics Professional
KPMG Australia is part of a global network providing extensive services across a wide range of industries and sectors. Our people collaborate, share their expertise and create innovation as we partner with clients to solve complex challenges, empower change, drive disruption and growth. We look for talented people with the potential to make an extraordinary difference for our clients, our firm and our communities.

KPMG Forensic assists public and private sector clients to prevent, detect and respond to fraud, misconduct and other compliance issues as well as assisting with regulatory compliance and resolving commercial disputes. We help clients protect their business by providing assistance where facts and figures do not agree, where behaviour does not comply with expectations or where advice is required regarding regulatory requirements. Our range of services includes fraud and misconduct investigations, anti-bribery and corruption risk management, developing and implementing regulatory compliance frameworks, data analytics, forensic technology, dispute advisory services and corporate intelligence.

Our Sydney practice has an opportunity available for a Forensic Data Analytics Manager to use their skills to make a difference in fighting fraud & corruption, resolving disputes or resolving regulatory non-compliance. This is also an opportunity to expand your skills and gain exposure to a broad variety of clients.

As a Forensic Data Analytics Manager, you will work alongside our extraordinary people to help our clients help prevent and resolve commercial disputes, fraud, misconduct, and breaches of rules and regulations.

You will:
  • Learn to apply data analytics and data modelling to problems faced by some of Australia's biggest businesses
  • Extract, transform and load data to enable analysis
  • Use data wrangling tools and develop scripts to cleanse data
  • Create immersive and interactive dashboards and reports
  • Assist with the preparation of client deliverables including presentation slides, reports and calculation models.
To be considered for this opportunity, your qualifications, skills & experience could include:
  • Tertiary qualifications in Computer Science, Engineering, Mathematics, Finance, or Accounting
  • SQL, Microsoft Excel, scripting and/or programming skills
  • Analytical mindset and critical thinker
  • Excellent report writing skills.
  • A willingness to learn from other experienced professionals in the team.
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: 04 Jun 2021 AUS Eastern Standard Time
Applications close: 04 Jul 2021 AUS Eastern Standard Time

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