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- Tasks: Gather and analyse business requirements, build data models, and ensure data quality.
- Company: Join a leading investment bank launching an innovative greenfield project.
- Benefits: Work with cutting-edge technology in a collaborative, fast-paced environment.
- Why this job: Take ownership from day one and shape a new platform with impactful insights.
- Qualifications: Experience in KDB+/q and Python, ideally in financial services or investment banking.
- Other info: Excellent communication skills and stakeholder management are essential.
The predicted salary is between 43200 - 72000 £ per year.
Direct message the job poster from Caspian One
Business/Data Analyst – KDB & Python | Greenfield Build | Investment Banking
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.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Contract
Job function
-
Job function
Analyst
-
Industries
Investment Banking and Financial Services
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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 data analytics. 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 understanding of market data and financial instruments. Brush up on key concepts and be ready to discuss how they relate to the role, as this knowledge will set you apart from other candidates.
✨Tip Number 4
Practice your communication and stakeholder management skills. Role-play scenarios where you need to gather requirements or present findings, as strong interpersonal skills are crucial for success in this position.
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 these skills, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Python Proficiency
Since Python is a key requirement for this role, be ready to talk about your experience with 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.
