Job Title/Req Number:  R&D Tax Manager - Software Technology

Base Location: London

www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations

Why Join KPMG as a Tax Manager

KPMG’s national Incentives, Reliefs & Innovations team is made up of tax, engineering, science, and technology specialists delivering expert advice to a broad range of clients across almost every industry sector. As one of the largest teams in the industry, our continued investment in innovation advisory means that we seek engineers and scientist to join us on the next exciting phase of our growth.

Our team works with clients from owner managed business, to large multinational organisation, and we are looking for a Manager with a strong scientific/ engineering background to assist clients across a suite of innovation advisory services including R&D tax credits, Patent Box, R&D Allowances, Grants and Innovation Advisory services.

What will you be doing?

• Manage and work with engagement teams to develop claim methodologies and prepare R&D tax relief claims for submission to HMRC. Taking responsibility and accountability for your own, and your team’s work.
• Lead meetings with the senior IT technical and financial client stakeholders; and provide expert advice in relation to innovation advisory services (R&D, Patent Box, Grant Applications). Help to establish and maintain strong client relationships with both existing and new clients.

At KPMG, our Values define who we are and the way we do business. As a leading professional services firm, we know that our strength and capability come from our people: their different perspectives, experiences, and backgrounds.

KPMG’s Tax & Legal business has an inclusive and collaborative leadership strategy and are making bold changes to our culture and how we work.  A constantly changing and high-profile field, we work in a fast-paced, challenging and rewarding environment, and can offer a broad range of quality career paths to ambitious people.

The Role

KPMG’s Energy and Natural Resources (“ENR”) tax practice covers Oil and Gas, Mining, Power and Utilities (including renewables) and Chemicals. As our clients are facing unprecedented change with the energy transition and fiscal uncertainty our ENR tax and legal practice is growing significantly.   

Our clients comprise some of the largest global ENR clients, covering both UK headquartered and inbound groups. Our work covers deal advisory support, international tax and domestic tax advice.  A successful candidate would have opportunities to work across these areas.

Our Deal Advisory Tax work includes advisory services across the whole deal spectrum including company/sell-side vendor assist, refinancing and due diligence projects, to buy-side due diligence and structuring. We help our clients understand historical tax issues and structure transactions, with a continuous focus on maximising value throughout the investment cycle. Working collaboratively across the KPMG network, our work often involves advice on multiple countries, taxes, and work streams.

Our work in the tax advisory space includes supporting clients with business and fiscal change. This can include advising on new jurisdiction entry, the development of new business areas, business reorganisations, refinancing and leasing as well as the impact of windfall taxes and global fiscal change (e.g. BEPS 2.0 Pillar 2). 

TBC

Audit Lead Cloud Engineer(107481)

KPMG's Supply Chain practice helps clients build leading-edge supply chain capabilities across end-to-end operations. We combine deep sector insight, expert consulting capabilities, and trusted relationships to design and implement supply chain transformation programmes, including digital and technology integration.

We are seeking a highly motivated Senior Manager who is looking to leverage and expand their expertise in Supply Chain, with a proven track record of delivering exceptional results leading complex projects and driving business growth. The diverse nature of our engagements requires candidates to demonstrate comfort working with ambiguity and a commitment to continuous adaptation and professional development. The ideal candidate will possess a strong background in developing transformative operating models across a broad spectrum of industries through data-driven insights and the effective deployment of leading-edge technologies.