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- Tasks: Develop data-driven insights and tools to enhance operational efficiency.
- Company: Leading investment bank with a focus on innovation and employee wellbeing.
- Benefits: Hybrid working, competitive salary, non-contributory pension, and 30 days' holiday.
- Other info: Opportunity for personal growth in a supportive work environment.
- Why this job: Join a dynamic team to make impactful changes in the financial sector.
- Qualifications: Experience in data analytics, SQL, Python, and business analysis.
The predicted salary is between 50000 - 70000 £ per year.
We are seeking an Assistant Vice President with knowledge of Investment Banking Operations and a track record of developing data-driven insights, products, and tooling to support the business. This could have been either internally as part of Middle/Back-office operations or externally as a consultant. You will play a key role in evolving our operational landscape. This involves combining a "data-centric" approach when collaborating with operations colleagues to understand activities and workflow - uncovering critical insights and facilitating measurable improvements.
This position involves hands-on development (SQL, Python, Looker), straddling business analysis, technology, and data science. It focuses on pioneering rapid turnaround quantitative solutions to enhance efficiency, mitigate risk, and identify new opportunities across operations globally.
What we'll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days' holiday plus.
Data Analytics & Insight Generation | London, UK employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics & Insight Generation | London, UK
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects. Use platforms like GitHub to share your code and insights. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics and insight generation. Be ready to discuss your experience with SQL, Python, and any tools you've used. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace Data Analytics & Insight Generation | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analytics & Insight Generation role. Highlight your experience with SQL, Python, and any relevant data-driven projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your background in investment banking operations makes you a great fit for us. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a data-driven insight or a tool you developed, we love seeing real examples of your work that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Deutsche Bank
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Looker skills before the interview. Be ready to discuss how you've used these tools in past projects to generate insights or improve processes. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Understand the Business Context
Familiarise yourself with the investment banking operations landscape. Research the company’s recent projects or challenges in this area. Being able to connect your data analytics skills to real-world business problems will demonstrate your value and insight during the interview.
✨Prepare Insightful Questions
Think of questions that show your interest in the role and the company. Ask about their current data initiatives or how they measure success in their operations. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where you've identified a problem, analysed data, and implemented a solution. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will highlight your analytical thinking and ability to drive measurable improvements.