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- Tasks: Enhance model and data infrastructure while providing tooling support.
- Company: Leading financial services company in Nottingham with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and career progression opportunities.
- Why this job: Join a dynamic team and make an impact in the financial sector.
- Qualifications: Experience with Python and analytic datasets is essential.
- Other info: Passionate individuals will thrive in this collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services company in Nottingham is seeking a Valuations Engineer to enhance model and data infrastructure. You will provide tooling support, collaborate with business partners, and ensure high-quality software engineering practices.
Ideal candidates have experience with Python and analytic datasets, along with a passion for efficiency. This role offers a hybrid working model and opportunities for career progression.
Hybrid Valuations Engineer — Data & Analytics in Nottingham employer: Capital One
Contact Detail:
Capital One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Valuations Engineer — Data & Analytics in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with data and analytics. 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 Python projects and any relevant data analysis work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to valuations and data infrastructure. We recommend practising coding challenges and discussing your thought process clearly during interviews.
✨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 and engaged with our platform.
We think you need these skills to ace Hybrid Valuations Engineer — Data & Analytics in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and analytic datasets. We want to see how your skills align with the role of a Valuations Engineer, 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 enhancing model and data infrastructure. We love seeing candidates who can articulate their enthusiasm for efficiency and collaboration.
Showcase Your Software Engineering Practices: We value high-quality software engineering practices, so be sure to mention any methodologies or tools you’ve used in your previous roles. This will help us understand how you approach your work and ensure you fit into our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step to connect with us directly.
How to prepare for a job interview at Capital One
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any specific libraries or frameworks you've used for data analysis. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Business Context
Research the financial services company and its role in the industry. Familiarise yourself with their products and services, especially those related to valuations and analytics. This will show that you're genuinely interested in the company and how you can contribute to their goals.
✨Prepare for Technical Questions
Expect technical questions related to data infrastructure and software engineering practices. Review common concepts in data modelling and analytics, and be prepared to explain your thought process when solving problems. It’s a great way to showcase your analytical mindset and attention to detail.
✨Show Your Passion for Efficiency
Since the role emphasises efficiency, come prepared with examples of how you've improved processes or optimised workflows in previous roles. Discuss any tools or methodologies you've implemented that have led to better outcomes, as this will resonate well with the interviewers.
