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- Tasks: Design and build data architecture for AI-driven credit decisioning.
- Company: Leading financial services tech provider with a focus on innovation.
- Benefits: Hybrid work model, 25 days holiday, and life assurance.
- Other info: Collaborate with diverse teams in a dynamic work environment.
- Why this job: Shape the future of finance with cutting-edge AI technology.
- Qualifications: Experience in data architecture, strong SQL skills, and ETL knowledge.
The predicted salary is between 60000 - 80000 £ per year.
A leading financial services technology provider is seeking a Data Architect to define and shape data foundations for AI-driven credit decisioning. The role emphasizes building robust data architecture and pipelines while collaborating with cross-functional teams, including Product and Data Science.
Ideal candidates will have proven experience in data architecture design, strong SQL skills, and a solid understanding of ETL processes.
This position offers a hybrid work model and various benefits, including 25 days of holiday and life assurance.
Data Architect for AI Decisioning & Data Platform employer: finova
Contact Detail:
finova Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect for AI Decisioning & Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in financial services tech. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially any AI-driven solutions you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and ETL processes, and be ready to discuss how you've collaborated with cross-functional teams. We want to see how you can fit into their culture and contribute to their goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Architect for AI Decisioning & Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven credit decisioning and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know 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 application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at finova
✨Know Your Data Architecture
Make sure you brush up on your data architecture principles. Be ready to discuss your previous projects and how you've designed data pipelines. Highlight your experience with SQL and ETL processes, as these will be crucial for the role.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Think about times when you worked with product managers or data scientists to achieve a common goal.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. They might ask you how you would approach a specific data challenge. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's data strategy or how they envision the role evolving. This shows your genuine interest in the position and helps you assess if it's the right fit for you.