Graduate Opportunity

Graduate Programmes in Technology Financial Crime Data Analytics - Autumn 2022

Finance/Data Science/Analytics.

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Who we are

Our purpose - to build trust in society and solve important problems - has never felt more relevant. We bring our purpose to life through our focus on our clients, our people and the communities in which we live and work to address current and future challenges. As one of the world’s leading professional services organisations, attracting the right talent continues to be paramount. Investing in our people is central to our mission and inclusive culture. Whether it be empowering our people to learn new skills for the digital world, to reimagine the possible on how we work with clients, or to be open-minded on how we care for and support each other, we want to create an environment where our people can be the best they can be.

Careers at PwC | Together we can make the difference

What we do in Technology

We use technical and business knowledge to solve our clients’ problems. And because we offer so many different technology services we need people with different experiences to help us deliver them effectively.  Digital is the new normal, transforming how we work and live. 

At PwC, as we focus on future innovations, we’re investing in the best and most diverse workforce of today and tomorrow. We’re pushing forward with the use of technology within our own business - enabling our people to work more efficiently and collaborate more easily. All this is part of our commitment to put technology at the centre of our strategy as we continue to help our clients navigate the future digital landscape.

Financial Crime Data Analytics

Financial Crime 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. To stay ahead of changing crime, we have to keep changing ourselves by constantly innovating and drawing on the very latest technologies to broaden our expertise.

Join us and you'll get to work alongside leading FinCrime fighters in fields such as Big Data, Predictive Analytics, Machine Learning and Data Visualisation. 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. 

What you'll gain

When you join the Forensic Technology team you’ll receive training in a wide range of technical and non-technical skills. This can include data manipulation techniques, machine learning, big data technologies, programming and advanced data visualisation training and certifications. We’ll also encourage you to attend in-depth training led by our technology partners based on your individual development needs.

What you'll need

If you are naturally inquisitive, have an analytical mind and are passionate about shaping the fight against Financial Crime, we’d love to hear from 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 a 2.1 degree or be on target to achieve a 2.1 degree in a STEM related subject (Science/Technology/Engineering/Mathematics). We determine whether you're on course for a 2.1. based on the grades you achieved in your last completed year of academic study.
Our work is technical, and successful candidates should be able to evidence at least six months experience (either through university courses, previous work experience, or personal development projects) in one or more of the following competency areas:

  • Data analysis: SQL, Python, R.
  • Data visualisation: Tableau, PowerBI, Python (e.g. MatPlotLib), R (e.g. Shiny).
  • Other programming or scripting experience: C, C++, Java, JavaScript, Scala, Matlab.
  • Big data and Graph technologies: Apache Spark, MongoDB, Graph databases (e.g. Neo4j).

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