Work with clients in financial services with regulatory and risk modelling challenges in areas such as market risk and credit risk. And embark on a career adventure you can own, shape and grow.
“I've gained experience in credit and market risk and have time to study for my qualification. EY has a lovely collaborative environment, with ways to give back and impact lives in a fulfilling way through EY Ripples.” – Solomon, Quantitative Advisory Services Graduate
Our Quantitative Advisory Services (QAS) team works closely with other areas of EY to bring together the range of quantitative modelling and technical skillsets needed to support our clients’ highly specific and complex requirements. As a member of this team, we’ll train you to handle complex client projects and give you the skills to review and analyse system requirements and specifications. You’ll take on a lot of responsibilities and enjoy the many rewards that come with the challenges you’ll face.
If you’ve graduated from university, or will do soon, one of our graduate programmes could be for you. Work with interesting clients, earn a salary and study for a qualification. Watch to hear from our current graduates.
Enjoy getting straight to work on large-scale client projects that push you to reimagine client systems. Gain all-encompassing support. Expect technical training that will equip you with the resources to succeed and mentors that will help you reach your full potential. Embrace opportunities to upskill in the world of credit and market risk. Gain exposure to senior management and clients. And take the chance to gain a world-class Chartered Financial Analyst (CFA) qualification.
Alongside our programme offering, we give you all the training and exposure to real-world work you could want. We also offer company-wide and programme-specific rewards that make all the hard work worthwhile. These include wellbeing initiatives, a free tech MBA, healthcare support, a pension scheme and more.
Data is at the heart of what we do, and technology is the driver for solutions we bring to our clients. We use cloud-based high processing power platforms to develop data extraction and warehousing solutions, which leverage machine learning and advanced analytics techniques. This includes using various programming languages and data visualisation tools or reporting tools like Power BI to bring non-technical users along the journey.
This is where your adventure begins and where you have every opportunity to build an exceptional experience. Embrace the challenge as you help us build a better working world for everyone.
We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honour’s degree in Maths, Statistics, Financial Risk, Physics, Economics, Chemistry, Engineering, Computer Science or similar, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, and three A-levels/Five Highers (or equivalent). Knowledge in SAS, SQL, Python, R or VBA is a bonus too.
We welcome applications from all academic backgrounds and are looking for people who will succeed at EY today and tomorrow. That's why, through our recruitment process, your academic performance will be considered against your online assessment scores to determine your suitability for an EY role. We’re also proud to partner with RARE recruitment, so that your application can be processed in the context of your socio-economic background.
EY recognises that it has clear obligations towards all its people and the community at large to ensure that partners, employees and job applicants are afforded equal opportunities to enter employment and progress within the firm. As an employer committed to establishing an inclusive environment free from unlawful discrimination, the firm promotes the fair treatment of staff members and job applicants regardless of their sex, gender identity, marital or civil partnership status, race, ethnic or national origin, disability, religion, sexual orientation, age or pregnancy/maternity status.
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