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Company

KPMGSee more

addressAddressMelbourne, VIC
salary SalaryPermanent
CategoryAccounting & Finance

Job description

Job Description
  • Market leading Big four - a place to grow & develop
  • We'll have you working with Australia's most respected companies from day one
  • Immerse yourself in an inclusive, diverse and supportive culture
KPMG's Deal Advisory practice is a leading corporate finance adviser in Australia, across its lines of business - Mergers & Acquisitions, Valuations, Infrastructure & Projects, Restructuring, Transaction Services and Debt Advisory Services.

Our Transaction Services team has extensive experience in providing financial due diligence and related services to help clients assess, plan and manage acquisitions, mergers, divestments and initial and secondary debt and equity offerings. We leverage insights from our advanced analytics tools to provide real-time advice to our clients in a fast-paced environment.

Your Opportunity

We now have an opportunity for an experienced individual to join our team to continue to build our dedicated data analytics capability within Transaction Services. This is an excellent opportunity to join one of the leading corporate advisors in Australia and worldwide and to develop your skills in a diverse range of industries.

Having worked within a professional services firm or corporate environment, you will be involved in and lead the application of advanced data analytics to provide unique insights to our clients on end-to-end projects in relation to:
  • Pre-deal evaluations
  • Vendor assistance
  • Strategic and commercial intelligence
  • Financial due diligence
  • Vendor due diligence
  • Capital markets assistance
  • Regulatory reporting e.g. ASX listing
  • Synergy assessment
  • Working capital mechanism reviews
  • Sale and Purchase Agreement support
  • Integration assistance
  • Post deal effectiveness reviews
Qualifications

To be considered for this opportunity, your experience, qualifications and skills should include:
  • Tertiary qualification in Commerce/Finance or Data Science or related discipline.
  • Experience in data analysis and understanding of core business and financial processes.
  • Have had experience with Alteryx, visualization tools (e.g., Tableau or Power BI) and relational databases (e.g., SQL or PowerPivot) and applying business logic and interpreting results. Additional working knowledge of Python, VBA etc. would be beneficial, but not necessary.
  • The ability to build robust relationships at all levels, internally and externally.
  • A desire to contribute to team success along with a motivated and dedicated work ethic.
Additional Information

KPMG is one of the most trusted and respected global professional services firms. We partner with clients across an array of industries to solve complex challenges, steer change, drive disruption, and enable growth.

Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who've got your back. You'll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.

At KPMG, you'll take control over how you work. We're embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.

Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact .

At KPMG every career is different, and we look forward to seeing how you grow with us.
Refer code: 353418. KPMG - The previous day - 2022-12-03 08:26

KPMG

Melbourne, VIC
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