Forensic Data Analytics Manager

KPMG UK
London
2 days ago
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ERS 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.


As a Manager, you will be expected to:

  • Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured
  • Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required
  • Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients
  • Oversee and train junior colleagues
  • Participate in business development activities including marketing, knowledge sharing and practice development


You will be based in KPMG’s CSQ office working under KPMG’s hybrid working model of both home and office working. You will need to display a flexible attitude to working and be prepared to travel/work at other locations within the UK and internationally.


The Person

Essential:

  • Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment
  • Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed
  • Has experience in translating non-technical business requirements into analytical solutions
  • Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems
  • Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques
  • Works independently, resolving complex issues with little or no supervision or direction
  • Has experience of managing a junior team to achieve the required objectives


Skills we’d love to see/Amazing Extras:

  • Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern
  • Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis.
  • Has experience of using data visualisation tools such as PowerBI
  • Has experience with general ledger / ERP data as a prerequisite, with an experience of larger ERP systems such as SAP / Oracle a plus
  • Has familiarity with Graph Analytics and tools/libraries such as Neo4j and NetworkX


To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.


Our Locations:

We are open to talk to Forensic talent across the country but our core hubs for this role are:

  • Birmingham
  • London Canary Wharf
  • Manchester


With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.


Find out more:

Within Consulting we have a range of divisions and specialisms. Click the links to find out more below:

For any additional support in applying, please click the links to find out more:

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