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- Tasks: Develop and maintain a global hedge fund's risk database and workflows.
- Company: Join a leading investment firm renowned for its expertise in global macro investing.
- Benefits: Enjoy flexible working options and the chance to influence trading decisions.
- Why this job: Be part of a dynamic team where your SQL skills can make a real impact.
- Qualifications: Experience with SQL Server, Python scripting, and ETL processes is essential.
- Other info: No up-to-date CV required; just bring your passion for data!
The predicted salary is between 43200 - 72000 £ per year.
Want control over a global hedge fund’s risk database and workflows? Interested in utilising your SQL experience to influence the performance of data systems and reports used for trading decisions? This is an opportunity to join an investment firm’s risk team, known for their expertise in discretionary global macro investing.
You will be responsible for designing, developing and maintaining the risk database and workflows, along with building data visualisation reports/dashboards to translate the data to support the risk team.
- Experience working with SQL Server databases is a must.
- Experience using Python for scripting purposes.
- Previously built, maintained and optimised ETL processes.
- Some knowledge of data visualisation tools.
If you’re passionate about data, SQL and can handle working in a risk-focused role, then this opportunity might be the one for you.
No up-to-date CV required.
Hedge Fund - Risk Database and Analytics Developer employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hedge Fund - Risk Database and Analytics Developer
✨Tip Number 1
Familiarise yourself with the specific SQL Server features that are commonly used in risk management. Understanding how to optimise queries and manage large datasets will give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data manipulation and ETL processes. Being able to demonstrate your ability to automate tasks and streamline workflows can set you apart from other candidates.
✨Tip Number 3
Gain a solid understanding of data visualisation tools and how they can be applied in a risk context. Being able to present complex data in an easily digestible format is crucial for supporting trading decisions.
✨Tip Number 4
Network with professionals in the hedge fund and risk management sectors. Engaging with industry experts can provide insights into current trends and challenges, which you can reference during your conversations with us.
We think you need these skills to ace Hedge Fund - Risk Database and Analytics Developer
Some tips for your application 🫡
Tailor Your CV: Even though an up-to-date CV isn't required, it's still a good idea to tailor your CV to highlight your SQL and Python experience. Focus on relevant projects or roles that showcase your skills in database management and data visualisation.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your interest in the role and how your background aligns with the responsibilities outlined in the job description. Emphasise your experience with ETL processes and any specific data visualisation tools you've used.
Showcase Relevant Projects: If you have worked on any projects related to risk databases or analytics, be sure to mention them in your application. Describe your role, the technologies you used, and the impact of your work on the project's success.
Highlight Problem-Solving Skills: In your application, illustrate your problem-solving abilities, especially in relation to data systems and trading decisions. Provide examples of challenges you've faced in previous roles and how you overcame them using your technical skills.
How to prepare for a job interview at Saragossa
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL Server databases in detail. Highlight specific projects where you optimised queries or improved database performance, as this will demonstrate your technical expertise and problem-solving abilities.
✨Demonstrate Your Python Proficiency
Since Python is essential for scripting in this role, be ready to share examples of how you've used Python in previous projects. Discuss any libraries or frameworks you are familiar with that could be relevant to data manipulation or analysis.
✨Understand ETL Processes
Make sure you can explain the ETL processes you've built or maintained. Be ready to discuss challenges you faced and how you overcame them, as well as any tools you used to streamline these processes.
✨Prepare for Data Visualisation Questions
Familiarise yourself with data visualisation tools and be prepared to discuss how you've used them to create reports or dashboards. Think about how you can translate complex data into understandable insights, as this is crucial for supporting the risk team.
