The Coventry Building Society (CBS) is the UK’s second largest building society and has grown steadily over the last 10 years and has a reputation for Putting Members First.
We are currently undertaking an exciting journey and we are seeking talented individuals who are passionate about delivering an outstanding experience for both members and colleagues in an environment where you will have the opportunity to contribute to the future success of the organisation and work where personal and professional development is taken seriously.
Data, Insight & Analytics is the backbone of driving management decisions and is integral to our success, we’re always listening because our members and employees have the best ideas for improving the way we do things. We are critical in helping our business take shape.
We’re looking for people who thrive under pressure, have plenty of energy, love to solve problems and have a real passion for data. We’ll support your training and development, and reward your talent and commitment with a wide range of competitive benefits and opportunities for progression.
If you believe you have the right skills, drive & ambition and want to make a positive contribution to our continuing success then read on!
As a graduate on our Data, Insight & Advanced Analytics programme; we aim to ensure you are equipped with all the skills and knowledge you need to become a well-rounded data specialist. Here at CBS we use data to help management make informed decisions, understand our customer behaviour and ensure we are taking the right steps to drive change.
During year 1 with us you can look forward to getting involved variety of areas including IT, Finance and Credit Risk. You will get to immerse yourself in the following types of tasks:
- Data Quality initiatives
- Supporting the implementation of the Data Governance framework in the society
- Data Engineering and creation of data pipelines
- Reporting & Data Analysis across a range of sources (e.g. relational and dimensional databases, file systems, semi-structured and unstructured data, models, spreadsheets, OLAP cubes)
- Visualisation & generation of Dashboards (Power BI, Cognos, SAS VAAR)
- Process reviews and development of financial models and EUC solutions
Year 2 will be based in one department, fully engrossing yourself in long term projects, fulfilling the role of a Data & Insight specialist.
Training and development is important here at the society. You will start your employment with an induction where you will meet your fellow programme members. We invest from day one, you’ll attend development days and take on both individual and group projects that allow you to network
and build strong relationships across the Society. This training will not only help you get the all-round skills you need but it will be your experience that will really make the difference.
Start date September 2021
You’ll need a quantitative degree, such as
- Data Science
- Computer Science
It would be beneficial if you would have an understanding of or experience in:
- Modelling techniques to build and train appropriate credit risk and data science models.
- Programming languages including SQL, Python, Matlab, SAS or R which could include the use linear and logistic regression and decision trees.
Minimum of a 2:1 or a Masters qualification achieved within the last 3 years
An inquisitive nature is best suited for these roles; someone who wants to delve into the data and understand the underlying processes, how it can be used and manipulated to generate reliable insights. Someone who can be creative with data, showcase it in exciting and different meaningful ways
We are looking for problem solvers, people who are able to interpret, analyse and then communicate complex data to an audience at varying levels of technical proficiency.
We hold a robust recruitment process for all of our graduate programmes. It will consist of the following:
You need to apply with a CV and Covering letter
Answer the questions on the application form
Assessment centre/video interview (Covid depending)
Please be aware applications may close early so please apply as soon as possible to avoid missing out. We will be unable to accept any applications after we have closed