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- Tasks: Deliver insights and strategies for customers in financial difficulty using data analytics.
- Company: Dynamic digital banking provider based in Cardiff.
- Benefits: Hybrid working model, pension scheme, private medical insurance, and more.
- Why this job: Make a real difference in people's lives while working on impactful projects.
- Qualifications: Strong experience in data analytics within UK retail banking is essential.
- Other info: Join a collaborative team focused on compliance and positive outcomes.
The predicted salary is between 36000 - 60000 £ per year.
A digital banking provider in Cardiff is looking for a Financial Assistance Data, Modelling & Analytics Specialist. The successful candidate will deliver high-quality insights across the Customer in Financial Difficulty cycle, ensuring strategies comply with regulations and promote good outcomes.
Strong experience in data analytics within a UK retail banking environment is essential. This role offers a hybrid working model, focusing on impactful projects in a collaborative team environment, along with comprehensive benefits including a pension scheme and private medical insurance.
CiFD Analytics & Data Modelling Specialist in Cardiff employer: Starling Bank
Contact Detail:
Starling Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CiFD Analytics & Data Modelling Specialist in Cardiff
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and analytics space on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Prepare for those interviews by brushing up on your data modelling skills. Be ready to discuss how you've used analytics to drive results in previous roles, especially in retail banking.
✨Tip Number 3
Showcase your passion for helping customers in financial difficulty. Think of examples where your insights made a real difference and be ready to share them during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining our team.
We think you need these skills to ace CiFD Analytics & Data Modelling Specialist in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially within the UK retail banking sector. We want to see how your skills align with the role of a Financial Assistance Data, Modelling & Analytics Specialist.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about helping customers in financial difficulty and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Analytical Skills: In your application, don’t forget to mention specific projects or experiences where you've delivered high-quality insights. We love seeing real examples of how you've made an impact in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity in our collaborative team environment.
How to prepare for a job interview at Starling Bank
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially in the context of UK retail banking. Be prepared to discuss specific tools and methodologies you've used in previous roles, as well as how they can apply to the Customer in Financial Difficulty cycle.
✨Understand Regulatory Compliance
Familiarise yourself with the regulations that govern financial assistance and customer data handling in the UK. Being able to articulate how you ensure compliance in your work will show that you’re not just technically skilled but also aware of the broader implications of your role.
✨Showcase Collaborative Projects
Since this role involves working in a collaborative team environment, be ready to share examples of successful projects where teamwork was key. Highlight your ability to communicate insights effectively and how you’ve contributed to impactful outcomes in past roles.
✨Prepare Questions About the Role
Think of insightful questions to ask about the company’s approach to data modelling and analytics. This shows your genuine interest in the position and helps you gauge if the hybrid working model and team dynamics align with your expectations.
