Graduate, Technology, Financial Crime Data Analytics, London, 2024

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

Financial Crime Data Analytics
Financial Crime Data Analytics sits within our Forensics practice and involves the analysis of vast quantities of data using cutting-edge technologies and advanced statistical techniques in order to discover insights for our worldwide clients. Our remit is broad and our aspiration clear: to be the unavoidable voice in the ongoing and urgent fight against financial crime. There can be no place in a trusted financial system for terrorists, drug traffickers, market abusers and money launderers.

Programme

Our graduate training programme is underpinned by a development framework that broadens and deepens your knowledge. You'll learn from hands-on coaching and an outstanding variety of work, picking up business, personal and technical skills you can use across the network, and throughout your career.

What you'll do

Join us and you could be looking for hidden patterns within the global payments of a bank accused of money laundering, searching for evidence of fraud and abuse within a company’s finance system or helping track down rogue traders in their attempts to manipulate global financial markets. You may also be researching new tools and technologies and developing new propositions to take to our clients.

As a valued member of the team you will gain exposure to a wide variety of analytical techniques, providing you with a solid foundation for your career in data analytics.

What you'll gain

When you join the Financial Crime Analytics team, you’ll receive training in a wide range of technical and non-technical skills. We have a strong focus on learning and development, and provide the opportunity to take professional qualifications in technical skills such as programming languages, and to develop subject matter expertise in different areas of Financial Crime.

What you'll need

If you are naturally inquisitive, have an analytical mind and enjoy solving problems, we would be interested in talking to you. Candidates should also be prepared to travel as some of our opportunities can require team members to work at other PwC offices or client sites across the UK or overseas on a temporary basis (subject to government advice/guidelines).
You'll need to have achieved or be on track to pass an undergraduate degree or above in a STEM related subject (Science/Technology/Engineering/Maths) and demonstrate a passion for a career in technology and how organisations use it. We determine whether you're on course to pass based on the grades you achieved in your last completed year of academic study.
Successful candidates should be able to evidence experience in one or more of the following competency areas, either through previous work experience, personal work projects or university:
- Data analysis (for example using SQL/Python)
- Data visualisation
- Programming or scripting experience

When to apply

Once you have submitted your application you'll have seven days to complete the online test, this is the first stage of our recruitment process.

Assessment centres for this role will take place between 18 December 2023 - 28 January 2024 or 19 February - 4 March 2024. We expect to be able to give you at least a week's notice to attend.

If successful, you will be invited to a final round interview, which will take place from 5 February 2024 or 12 March 2024, depending on the date you attended your Assessment Centre.

Applications for this role may close early should we receive a high volume of interest so we recommend prompt application to avoid disappointment. 

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date