This exciting role is within our Corporate Tax Team based in the Manchester office (other locations considered). As part of a high performing team you will work with a diverse portfolio of large clients across UK listed, PE-backed, inbound and family-owned groups, and take on a variety of projects, tax structuring and international expansion.

We are looking for a talented and technically orientated Senior Manager level to support our rapid growth. The successful candidate will thrive in a dynamic and challenging working environment, supported by a strong and ambitious leadership team.

Do you enjoy tax technical research and solving complex technical queries? Do you enjoy sharing this knowledge with your colleagues? We are looking for a talented individual at Senior Manager level, from a corporate tax background, to be part of our national Central Technical and Learning Team. The ideal candidate will have very strong technical skills, drive and curiosity.

Deal Advisory / M&A Tax – Private Equity & Credit

Tax Manager

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.

Deal Advisory Tax (DAT) is a dynamic and successful area of KPMG’s Tax & Legal business. We have 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

DAT provides market leading advice to corporates and financial institutions on a broad range of transactions. 

Embedded within DAT is our Private Equity & Credit team. The PE&C team works with large and mid-cap private equity and credit intuitions, advising them throughout the deal spectrum including buy-side due diligence and structuring, sell-side vendor assist, due diligence and structuring, refinancing, restructuring and listing support.

The PE&C team has advised on some of the largest deals in the market, helping clients understand and quantify historical tax issues, structure transactions, model tax outcomes and reflect advice in the legal documents underpinning each transaction, all with a continuous focus on maximising value throughout the investment cycle. Working collaboratively across the KPMG network, our work often involves advice across multiple countries, taxes, and work streams.

Key Responsibilities

The KPMG Alternatives team provides high-quality and impactful tax advisory and compliance services to the Alternative Investment Fund sector. This includes private equity, hedge funds, credit funds and real estate funds.

Due to our ongoing growth, we have a number of job openings for exceptional candidates. This posting is for a role focussed on Alternative Investment Fund tax and would be well suited to a driven and motivated candidate with experience in the Alternative Investment Fund sector. We would also like to hear from candidates who have experience of working in a tax team within an alternative investment fund.

The Lead Data engineer will primarily work with product owners, solution architects, engineering teams and BI developers to implement and drive forward our Data & AI goals within Tax & legal.  

This is an opportunity to work as a "hands on" data engineer, engaging with a variety of stakeholders in engineering teams and the business to deliver business critical solutions.  You will collaborate with Enterprise Data Architects and Data engineers’ firm wide to align to best practice and the firms Data management policies.  

The role can be based anywhere in the UK, though preference will be given to candidates in Glasgow and London. Regular travel to Glasgow or London will be required once travel conditions permit this. Remote or part-time workers are welcome to apply.

Whilst there is no expectation of existing knowledge of tax, we would expect you to develop a degree of domain knowledge over time.