At a Glance
- Tasks: Join us as a Data Risk Analyst to monitor and manage data risks effectively.
- Company: We're one of the UK's largest building societies, dedicated to improving lives.
- Benefits: Enjoy flexible working options, a bonus scheme, and comprehensive wellbeing support.
- Why this job: Be part of a recognised 'Great Place to Work' with a focus on equality and diversity.
- Qualifications: Understanding of risk in banking, project management skills, and proficiency in Microsoft tools required.
- Other info: We celebrate diversity and offer opportunities for disabled applicants through our interview scheme.
The predicted salary is between 36000 - 60000 £ per year.
As our Data Office continues to grow and embed data risk across the Society, we have a new opportunity to join us as a Data Risk Analyst on a 12 month basis. The Data Risk Analyst will support the Data Risk and Controls operating model to monitor the standards, processes, artefacts and governance mechanisms required for effective management of the Society's risks at functional and category level.
The person in role will monitor risks across the Society and will be the subject matter expert for all Data Risk reporting, providing timely insights against a set of defined Key Risk and Performance Indicators. Supporting the Risk and Control Self Assessment (RCSA) for the Data Office, the Data Risk Analyst will also support in producing a monthly dashboard report for the Data Risk Committee, providing accurate and insightful MI.
To be successful in this role it's essential you have:
- An understanding of risk and controls from a banking environment preferably with a good knowledge of data risk
- Planning and organising skills including project management
- The ability to track and monitor risk reduction plans including controls testing risk policies and frameworks
- Evidence of working with stakeholders at all levels, with the ability to persuade and influence
- Confidence in the use of computer systems, including Microsoft Word, Excel and 365
Desirable experience will be:
- A data risk background from a data function
- Previous experience of working with internal risk and audit functions
- Experience of significant change and delivery
We understand the need for flexibility, so wherever possible, we’ll consider alternative working patterns. Have a chat with us before you apply to see what the possibilities are for this role.
Proud to be a Disability Confident Committed Employer. We’re proud to offer an interview or assessment to every disabled applicant who meets the minimum criteria for our vacancies. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme.
If you would like to opt in to the scheme please contact our recruitment team when you apply.
Location: Coventry
Data Risk Analyst employer: Coventry Building Society Careers
Contact Detail:
Coventry Building Society Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Risk Analyst
✨Tip Number 1
Familiarise yourself with the specific risk and control frameworks used in banking, especially those related to data risk. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data risk field, particularly those who work within banking environments. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could boost your application.
✨Tip Number 3
Prepare to discuss your experience with stakeholder management and how you've influenced decisions in previous roles. Be ready to provide examples of how you've successfully communicated complex risk concepts to non-technical audiences.
✨Tip Number 4
Showcase your proficiency in Microsoft Excel and other data analysis tools. Consider brushing up on advanced Excel functions or data visualisation techniques, as these skills are crucial for producing insightful reports and dashboards.
We think you need these skills to ace Data Risk Analyst
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data Risk Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: Emphasise any previous experience you have in risk management, particularly in a banking environment. Mention specific projects or tasks where you successfully monitored risks or worked with stakeholders, as this will demonstrate your suitability for the role.
Showcase Your Skills: Make sure to showcase your planning, organising, and project management skills in your application. Provide examples of how you've tracked and monitored risk reduction plans or contributed to governance mechanisms in past roles.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarises your CV but also explains why you're passionate about the role and the company. Use this opportunity to express your understanding of data risk and your commitment to supporting the Society's goals.
How to prepare for a job interview at Coventry Building Society Careers
✨Understand Data Risk Fundamentals
Make sure you have a solid grasp of data risk concepts, especially in a banking context. Be prepared to discuss how you would identify and manage risks, as well as your experience with risk reporting and governance mechanisms.
✨Showcase Your Planning Skills
Highlight your planning and organising abilities during the interview. Discuss any project management experiences you've had, particularly those that involved tracking and monitoring risk reduction plans or controls testing.
✨Engage with Stakeholders
Demonstrate your ability to work with stakeholders at all levels. Prepare examples of how you've successfully persuaded or influenced others in previous roles, as this will be crucial for the Data Risk Analyst position.
✨Familiarise Yourself with Tools
Be confident in your use of computer systems, especially Microsoft Word, Excel, and 365. You might be asked about specific tools or techniques you’ve used for data analysis or reporting, so brush up on your technical skills before the interview.