Retail Banking

Graduate Programme Overview

1-2 year targeted, fast-track program focused on developing specialist technical expertise

Why the Advanced Analytics Graduate programme?
As an Advanced Analytics Analyst, we’ll help you develop specialist advanced analytics expertise. We’ll help you gain technical skills, including programming, modelling and visualising data using sophisticated market-leading platforms and tools. We’ll also support you to develop important consulting skills, such as understanding and solving problems, turning your insights into actions, and presenting data-driven findings to stakeholders.

You’ll be responsible for delivering hypothesis-driven analysis on a range of data sources across key business issues relating to Barclays’ customers, products and channels.

You’ll also be using advanced analytics to deliver analytical ‘deep dives’ and create data assets that drive the performance of the bank, enabling smarter, faster, and more proactive decision making across Barclays.

This is a challenging and rewarding opportunity to become an expert in Data and Analytics in a multi-award-winning team, shaping what the best customer experiences will look like for years to come.

Expect to be right where the action is. You’ll start with training; after which you’ll join your team. The challenges you take on might include:

- Analytics to drive Pricing decisions across our all products
- Targeting and audience selection to drive customer engagement
- Building Customer segmentations to better understand our customers’ needs
- Affordability and Risk modelling for responsible lending decisions

Retail Banking at Barclays
Join the team that designs and drives brilliant customer experience across Barclays. It’s where we delve for deep understanding of our customers’ needs and ambitions. It’s where we dream up just the right products to help them along the way. It’s where we craft truly connected customer journeys, ensuring great interactions at every single touchpoint. And it’s where we keep our eyes on the future, shaping what the best customer experiences will look like for years to come.

What we're looking for
To be considered for this programme, you must be motivated and curious with a degree or expected degree - in any area.
Ideally, you would have a keen interest in analytics, data business and finance, and be passionate about relationship building as well as being a problem solver.

Working at Glasgow
Our brand new state-of-the-art campus in Glasgow is somewhere you'll want to work. It's the home of a team of 5,500 colleagues who thrive in an environment that's designed with collaboration and the future of work in mind. The campus is made up of creative spaces and technology with hybrid working opportunities at the heart. The campus is inclusive to all, with a specific focus on neurodiversity through our partnership with Scottish Autism.

As well as offering the perfect space for collaborative working, there's also plenty to get involved in outside of your day job. From live music in the canteen, a rooftop bar that overlooks the Clyde for meeting up with colleagues after hours and even an on-site beekeeping club.

It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, colour, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, protected veteran status, genetic information, or any other basis protected by law.

Purpose of the role

To participate in the day-to-day activities of the retail banking and data analytics division providing insights and expertise that help senior colleagues make informed decisions, develop new products and services, and identify new market opportunities.

Accountabilities
- Execution of small research projects, research to support strategic decision making, preparation of presentations and reports to communicate research findings, collaboration with senior management to implement research findings for retail banking data and analytics.
- Collaboration with cross-functional teams to support business initiatives.
- Participation in training and development programs to enhance skills and knowledge.
- Identification of opportunities, development of business cases, management of the deployment and launch of new products and services for retail banking data and analytics.
- Management of client relationships and provision of customer service support to clients and customers, under steadily decreasing supervision, responding to questions about products and services, processing of transactions.
- Management of the development and implementation of financial models and strategies that support in decision making for retail banking data and analytics.
- Training and mentoring of junior colleagues.

Analyst Expectations
- Will have an impact on the work of