Graduate Technology - Forensic Technology London Autumn 2023 London, England
KPMG-UnitedKingdom
Full Time
London, England
50000 - 57237 GBP ANNUAL Today
Job description
Job description
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.
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.
In your role, you'll work flexibly across your location region - at engagement sites, our offices and home. Our people have always worked flexibly - so this way of working isn't new for us. We're creating a tech-driven business to empower and equip our people to be outstanding in delivery, no matter where they work - through inspiring collaboration spaces and new technologies.
By joining us as a graduate, you'll have the KPMG community at your side, providing the support you need to be at your best, grow in your own way and create opportunities to build the career you want.
Capability: Technology & Engineering Programme Length: 3 years Qualifications: Technology specific accreditation, certification and/or relevant learning modules Entry Requirements:
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:
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.
Key Skills:
Throughout the recruitment process we will be looking to learn more about your strengths.
To be successful on this programme, you will be required to demonstrate the strengths that we look for in our graduates at KPMG.
Learn more about what we look for and how to apply here .
Training and Development:
The training and development of our people is critical to the future success of our business. We want to empower you to grow in your own way, to feed your curiosity and embrace a growth mindset in an environment where learning is continuous. Therefore, we have created a rich curriculum and learning community to help you build your skills and fulfil your potential. This ranges from an immersive 5-day induction experience to help you transition to the world of work, formal training courses, leadership knowledge bites, learning journals, online courses and networking events - all aligned to our 'learn for a lifetime' strategy designed to help you gain an advantage for life.
On this programme, you'll also have the opportunity to study for technology specific accreditations, certifications and/or relevant learning modules.
Additional Information:
Please visit our Applying to KPMG page to discover more about our application process.
Visit our International Students page to find out more about visas and requirements.
For anything else, please refer to our FAQ section .
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.
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.
In your role, you'll work flexibly across your location region - at engagement sites, our offices and home. Our people have always worked flexibly - so this way of working isn't new for us. We're creating a tech-driven business to empower and equip our people to be outstanding in delivery, no matter where they work - through inspiring collaboration spaces and new technologies.
By joining us as a graduate, you'll have the KPMG community at your side, providing the support you need to be at your best, grow in your own way and create opportunities to build the career you want.
Capability: Technology & Engineering Programme Length: 3 years Qualifications: Technology specific accreditation, certification and/or relevant learning modules Entry Requirements:
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.
Key Skills:
Throughout the recruitment process we will be looking to learn more about your strengths.
To be successful on this programme, you will be required to demonstrate the strengths that we look for in our graduates at KPMG.
Learn more about what we look for and how to apply here .
Training and Development:
The training and development of our people is critical to the future success of our business. We want to empower you to grow in your own way, to feed your curiosity and embrace a growth mindset in an environment where learning is continuous. Therefore, we have created a rich curriculum and learning community to help you build your skills and fulfil your potential. This ranges from an immersive 5-day induction experience to help you transition to the world of work, formal training courses, leadership knowledge bites, learning journals, online courses and networking events - all aligned to our 'learn for a lifetime' strategy designed to help you gain an advantage for life.
On this programme, you'll also have the opportunity to study for technology specific accreditations, certifications and/or relevant learning modules.
Additional Information:
Please visit our Applying to KPMG page to discover more about our application process.
Visit our International Students page to find out more about visas and requirements.
For anything else, please refer to our FAQ section .
KPMG-UnitedKingdom
https://us-jobs.kpmg.com/careers
New York, United States
Paul Knopp
$25 to $50 million (USD)
1001 to 5000 Employees
Company - Private
Business Consulting
1987
