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- Tasks: Lead data analytics and management initiatives in a dynamic banking environment.
- Company: Major banking client in London with a focus on innovation.
- Benefits: 12-month FTC with potential for full-time, competitive salary, and growth opportunities.
- Why this job: Join a key role in shaping data systems and analytics in investment banking.
- Qualifications: Strong experience in Python, SQL, and financial principles required.
- Other info: Exciting opportunities for career advancement in a fast-paced environment.
The predicted salary is between 54000 - 84000 £ per year.
A major banking client in London is seeking a VP, Front Office Data Management & Analytics for a 12-month FTC role, with the possibility to convert to full-time. The ideal candidate should have strong experience in Python and SQL, a solid understanding of financial principles, and end-to-end knowledge of ETL tools. This position is key to supporting data systems and analytics within a Corporate Investment Banking environment, offering exciting opportunities for growth.
VP, Front Office Data Analytics & Management (12-Month FTC) in London employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Front Office Data Analytics & Management (12-Month FTC) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and data analytics sectors. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! If you've got experience with Python, SQL, or ETL tools, make sure to highlight that in conversations. Consider sharing a project or two that showcases your expertise—it's a great way to impress potential employers.
✨Tip Number 3
Stay updated on industry trends! Follow relevant news and developments in corporate investment banking and data analytics. This knowledge will not only help you in interviews but also show that you're genuinely interested in the field.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you land that VP role. Plus, applying directly can sometimes put your application in front of the right people faster than through other channels.
We think you need these skills to ace VP, Front Office Data Analytics & Management (12-Month FTC) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python, SQL, and ETL tools. We want to see how your skills align 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 the perfect fit for the VP role. Share your understanding of financial principles and how you can contribute to our data systems and analytics.
Showcase Your Analytical Skills: In your application, give examples of how you've used data analytics to drive decisions in previous roles. We love seeing candidates who can demonstrate their analytical prowess in a Corporate Investment Banking context.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Harvey Nash
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any ETL tools you're familiar with. This will show that you not only understand the technical side but can also apply it in a real-world banking context.
✨Understand Financial Principles
Since this role is in Corporate Investment Banking, it's crucial to have a solid grasp of financial principles. Prepare to discuss how data analytics can drive decision-making in finance. Think about examples where your analytical skills have positively impacted financial outcomes.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. They might ask how you would approach a data-related challenge in the front office. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your problem-solving abilities effectively.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data systems and analytics strategies. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers on a deeper level.
