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For Companies At a Glance
- Tasks: Gather and analyse business requirements, build data models, and ensure data quality.
- Company: Join a leading investment bank launching an exciting new project.
- Benefits: Work in a fast-paced environment with cutting-edge technology and full ownership.
- Why this job: Be part of a collaborative team making a real impact in finance.
- Qualifications: Experience in KDB+/q and Python, ideally in financial services.
- Other info: This is a greenfield project, offering unique opportunities for innovation.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Business/Data Analyst – KDB & Python | Greenfield Build | Investment Banking
-EXPERIENCE IN KDB+ IS Essential-
A leading investment bank is building a brand-new team for a greenfield project and is looking for a Business/Data Analyst with strong KDB and Python skills.
Key Responsibilities:
- Gather and analyze business requirements from front-office and tech teams.
- Build data models and analytics solutions using KDB+/q and Python.
- Define data pipelines and ensure data quality and performance.
- Translate business needs into actionable insights and documentation.
Requirements:
- Experience in financial services, ideally trading or investment banking.
- Strong hands-on skills in KDB+/q and Python.
- Solid understanding of market data and financial instruments.
- Excellent communication and stakeholder management skills.
Why Apply?
- Join a greenfield build with full ownership from day one.
- Work with cutting-edge tech in a high-impact, front-office environment.
- Be part of a collaborative and fast-paced team shaping a new platform.
Business/Data Analyst (kdb+/q) employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business/Data Analyst (kdb+/q)
✨Tip Number 1
Familiarise yourself with KDB+/q and Python by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the investment banking sector, especially those who work with KDB+/q. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 3
Prepare to demonstrate your analytical skills by practising case studies or real-world scenarios related to data analysis in finance. Being able to showcase your problem-solving abilities will set you apart from other candidates.
✨Tip Number 4
Research the specific investment bank and its recent projects or initiatives. Tailoring your discussions to their current goals and challenges will show your genuine interest and help you make a strong impression during interviews.
We think you need these skills to ace Business/Data Analyst (kdb+/q)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with KDB+/q and Python. Include specific projects or roles where you utilised these skills, especially in financial services or investment banking.
Craft a Compelling Cover Letter: In your cover letter, emphasise your understanding of market data and financial instruments. Explain how your background aligns with the responsibilities of gathering business requirements and building data models.
Showcase Communication Skills: Since excellent communication and stakeholder management skills are crucial for this role, provide examples in your application that demonstrate your ability to translate complex data insights into actionable recommendations.
Highlight Relevant Experience: If you have experience in a greenfield project or similar environments, make sure to mention it. Discuss how you can contribute to building a new platform and your approach to ensuring data quality and performance.
How to prepare for a job interview at Caspian One
✨Showcase Your KDB+/q Expertise
Make sure to highlight your hands-on experience with KDB+/q during the interview. Be prepared to discuss specific projects where you've used this technology, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Python Skills
Since Python is a key requirement for this role, be ready to talk about your proficiency in it. You might want to prepare examples of data models or analytics solutions you've built using Python, especially in a financial context.
✨Understand Financial Services
Brush up on your knowledge of financial instruments and market data. Being able to speak confidently about these topics will show that you understand the industry and can translate business needs into actionable insights.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and concisely, especially when discussing complex technical concepts. Remember, you'll need to engage with both front-office and tech teams.
