Forensic - Analytics Manager (108689)

KPMG overview
KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years.

We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working.

With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better.

Summary of role purpose
Investigations and Compliance (I&C) is part of KPMG’s Forensic practice.  We help clients with their biggest and most challenging misconduct and integrity matters.  Our work helps clients respond to regulatory enquiries, reduce reputational risk and prevent or reduce commercial loss by helping them to investigate and mitigate risks including fraud and misconduct, bribery and corruption, financial crime and much more.
As a result of an exciting and increasing pipeline of fraud analytics work, we are looking for a Manager to help coordinate the strategic direction of a team deploying analytics (including fraud analytics routines and GenAI capabilities) over large complex financial and other datasets, both structured and unstructured.

Description of the role
The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters.

This role requires a deep understanding of both structured and unstructured data analytics techniques, coupled with strong leadership and communication skills.  The successful candidate will be responsible for developing and implementing innovative analytical solutions leveraging a wide range of techniques, including through the use of SQL, Python, cloud computing and Generative AI (GenAI).

You should expect to work on a variety of project-based work over a cross section of forensic work types, industries and geographies. Day to day activities will vary depending on the type and circumstances of each project.

KPMG’s Innovation Reliefs and Incentives 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, scientists and tax professionals to join us on the next exciting phase of our growth.

Our team works with clients from owner managed business, to large multinational organisations, and we are looking for a Senior Manager with a strong financial, accounting and tax background to assist clients across as suite of innovation advisory services including R&D tax Credits, Patent Box, R&D Allowances, Grants and Innovation Advisory services.

KPMG Law is dedicated to becoming the clear choice for international business reorganisations by leveraging our multi-disciplinary firm approach and large global footprint and supported by our cutting-edge approach to legal technology and client focussed solutions.

We are looking for motivated, entrepreneurial corporate lawyers with experience of corporate reorganisations, strong technical skills, and a desire to work in a dynamic multi-disciplinary environment.

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 comes from our people – their different perspectives, experiences and backgrounds. From our inclusive leadership strategy to our diversity and inclusion targets – we’re making bold changes to who we are and what we do. Be part of it.

KPMG’s Innovation Reliefs and Incentives 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, scientists and tax professionals to join us on the next exciting phase of our growth.

Our team works with clients from owner managed business, to large multinational organisations, and we are looking for an Assistant Manager with a strong financial, accounting and tax 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. This is an excellent opportunity for someone with an Honour/ Post Graduate Degree in finance, accounting and tax or other related discipline that either has industry financial experience or working knowledge of the R&D tax legislation.

We are looking for seasoned GBS practitioners to join us and help grow our GBS advisory practice in the UK, to shape and articulate the GBS/SSC strategy and value proposition to C-level and VP level clients.

You'll design and develop GBS/SSC shared services operating models for our clients across various corporate functions such as finance, HR, IT, supply chain/logistics, procurement etc including governance and service management capabilities, along with the service catalogues and service level agreements, and apply leading practice end to end process expertise in one or more core finance, HR, IT, supply chain/logistics, procurement or other corporate functions in order to design and implement new re-engineered processes in a Shared Services or Business Process Outsourcing operating model