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 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 Policy Lead is responsible for developing and maintaining Global Information Security Policies and Security Standards, which define the minimum-security baseline for all KPMG entities.  The role requires a blend of policy expertise, technical skills, and the management skills to drive policy development and enhancements to ensure that our security baseline meets the firm's business requirements and expectations of external parties, regulators and clients, and is aligned to industry frameworks.

Tax Assistant Manager - Banking

KPMG’s FS Corporate Tax team has an immediate need for an Assistant Manager to support delivery of a range of engagements across corporate tax advisory, tax advisory, and tax audit assist. The KPMG FS Corporate Tax Team has a strong market reputation working with leading Global and UK bank and insurers on a range of tax services.   

The team will invest in the right candidate to enable quick upskilling on industry tax technical and commercial matters.  There is a strong pipeline of project and advisory work. 

What will you be doing?

Delivery of a range of engagements across tax advisory including M&A, tax advice including Pillar 2, tax audit, and compliance 

What will you need to do it?

• Corporate tax background, ideally some experience in tax audit 
• Currently operating at assistant manager grade  
• Willingness to learn  
• Possession of sound judgement, including the ability to identify and evaluate risk issues, and knowing when to involve others;<

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 Real Estate tax and would be well suited to a driven and motivated candidate with experience in the Real Estate sector. We would also like to hear from candidates who have experience of working in a tax team within a real estate fund. We are also hiring for other roles across the Alternatives tax team – see separate postings.

We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem, including Microsoft Fabric, Synapse Analytics, and Delta Lake. This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large datasets, and enabling data-driven decision-making across the organisation.

The successful candidate will play a key role in designing and implementing scalable data solutions, collaborating with both technical and non-technical stakeholders, and helping shape our modern data architecture.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric.
• Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics.
• Leverage Delta Lake architecture to support both batch and streaming data processes.
• Develop high-quality, reusable code in Python and PySpark, following best practices and ensuring maintainability.
• Create insightful, interactive reports and dashboards using Power BI.
• Use Git and Azure DevOps (ADO) for version control and deployment workflows.
• Continuously improve the performance, reliability, and scalability of data systems.
• Advocate for best practices in data governance, data quality, and documentation.