💼 Job

Graduate Technology - Forensic Technology London Autumn 2023


15d ago

💼 Graduate Job


Rolling basis


Our Forensic Technology Services includes F-Tech and Forensic Data Analytics (FDA) consulting teams. F-Tech supports clients and their legal advisors in response to litigation, civil disputes, investigations, regulatory, and Merger & Acquisitions matters. The team assists their clients through the preservation, collection, processing, reporting, and analysis of electronically stored information (ESI) such as emails, chat messages, and documents. The projects you’ll work on are often time critical and include global clients with footprints around the world, providing you with opportunities to work with other overseas offices including on site attendance. The work you’ll do will have a significant impact on our clients’ businesses and the communities we serve.

In our FDA teams, we combine industry and technology expertise to create advanced technology solutions for clients in response to regulatory compliance, investigations, risk, strategic and operational matters. We consult with clients and deliver solutions in a variety of areas of data management, modelling and systems testing, that assist clients in assessing and optimising their financial crime systems. We also work on developing data-driven technology assets in a variety of platforms.

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Area of Responsibilities

Business, Operations & Strategy


The projects you could work on vary, from sanctions screening, transaction monitoring for money laundering activity and fraud monitoring (where advanced analytics and machine learning techniques are applied), to vast quantities of financial and customer data and developing solutions that support client risk assessments and regulatory compliance. The team also works with the unstructured data (including electronic and audio communications) to deliver trader surveillance services to financial services clients and develops new detection mechanisms through cloud-based APIs, including Azure Custom Speech (“voice to text”) and machine learning models to improve the quality of preventative risk detection.
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At KPMG, everyone brings a unique perspective, and we want to ensure that you have the best opportunity to demonstrate your potential. We’ve designed our application process to assess everyone’s potential and to ensure that you have the skills to succeed at KPMG.We will be considering your strengths and achievements alongside several other metrics, including technical background and/or experience. You’ll generally be expected to demonstrate the following:2:2 undergraduate degree in any discipline.As part of your application, you will be given the opportunity to share any extenuating circumstances that may have impacted your degree outcome. Supplying us with this information will not negatively impact your application, but it may provide a positive uplift on your academic achievements. You can also choose to opt out of sharing it.
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