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- Tasks: Join a dynamic team to develop bespoke trading platforms using Python and cutting-edge tech.
- Company: Paragon Alpha collaborates with a leading global multi-strategy fund focused on innovative technology.
- Benefits: Work with advanced tools, gain exposure to industry leaders, and enhance your tech skills.
- Why this job: This role offers a unique chance to impact trading strategies while working in a collaborative environment.
- Qualifications: Proficiency in Python and familiarity with technologies like Kafka, Kubernetes, and AWS are essential.
- Other info: Ideal for those looking to break into the quantitative finance space.
Paragon Alpha are working with a global multi-strategy fund who have achieved success by integrating cutting edge technology teams within their trading divisions. They need a Python Engineer to join a Credit Trading team.
You would be joining the FICC Technology Group, who partner with PMs to architect bespoke trading platforms and tools to aid their strategies. The team works on all the trading applications used by PMs, so you will be working on a project to project basis, interfacing with multiple areas/teams in macro trading.
Stack: Python, Kafka, Kubernetes, AWS
The team allows you to use cutting edge technologies while gaining exposure to Credit PMs, and thus break further into the quantitative space. Please do apply if this sounds of interest.
Python Engineer - Credit Trading - Global Fund - £250k employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer - Credit Trading - Global Fund - £250k
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Kafka, Kubernetes, and AWS. Having hands-on experience or projects showcasing your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the finance and technology sectors, especially those who work in credit trading or similar roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences in developing trading platforms or tools. Be ready to explain how your contributions have positively impacted trading strategies or efficiencies, as this will demonstrate your value to the team.
✨Tip Number 4
Stay updated on current trends in quantitative finance and trading technologies. Being able to discuss recent developments or innovations in the field during your conversations will show your passion and commitment to the role.
We think you need these skills to ace Python Engineer - Credit Trading - Global Fund - £250k
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Python Engineer in Credit Trading. Familiarise yourself with the technologies mentioned in the job description, such as Python, Kafka, Kubernetes, and AWS.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise any previous work with trading platforms or quantitative analysis, and ensure your proficiency in the required tech stack is clear.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and trading. Mention specific projects where you've used similar technologies and how they relate to the role at Paragon Alpha. Make it personal and engaging.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented professionally. A polished application reflects your attention to detail.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python during the interview. Be prepared to discuss specific projects where you've used Python, especially in trading or financial contexts, as this will demonstrate your relevance to the role.
✨Familiarise Yourself with the Tech Stack
Since the role involves working with Kafka, Kubernetes, and AWS, it's crucial to have a solid understanding of these technologies. Brush up on how they integrate with Python and be ready to discuss any experience you have with them.
✨Understand the Trading Environment
Research the basics of credit trading and the role of technology in this space. Being able to speak knowledgeably about how technology impacts trading strategies will impress the interviewers and show your genuine interest in the field.
✨Prepare for Team Collaboration Questions
Given that the role involves interfacing with multiple teams, be ready to discuss your experience working collaboratively. Think of examples where you've successfully worked in a team setting, particularly in high-pressure environments like trading.
