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- Tasks: Enhance an ETF trading platform and design core components using Python.
- Company: Join Talan, a leader in innovative trading solutions.
- Benefits: Dynamic trading environment with opportunities for growth and development.
- Other info: Ideal for self-starters looking to thrive in a collaborative team.
- Why this job: Make an impact in the fast-paced world of electronic trading.
- Qualifications: Strong Python and SQL skills, with a background in Computer Science or Engineering.
The predicted salary is between 60000 - 80000 £ per year.
Talan is seeking a developer for a Front Office trading role focused on enhancing an ETF trading platform. This role requires strong experience in electronic trading systems and proficiency in Python and SQL.
Responsibilities include:
- Designing core components
- Improving trading workflows
- Contributing to automated trading features
Ideal candidates are self-starters with a solid engineering background and a degree in Computer Science or Engineering. This position offers an excellent opportunity to work in a dynamic trading environment in the UK.
ETF Trading Platform Engineer - Python employer: Talan
Contact Detail:
Talan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ETF Trading Platform Engineer - Python
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio, make sure to highlight it during interviews. It’s a great way to demonstrate your Python and SQL prowess.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and trading system concepts to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes tracking your application a breeze!
We think you need these skills to ace ETF Trading Platform Engineer - Python
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in past projects, especially in trading systems or similar environments.
Talk About Your Trading Experience: If you've worked on electronic trading systems before, let us know! Share specific examples of how you've improved workflows or contributed to automated features. This will help us see your fit for the role.
Keep It Clear and Concise: When writing your application, be straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to understand your background and skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Talan
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to electronic trading systems. This will show that you not only understand the tools but can also apply them effectively.
✨Understand the Trading Environment
Familiarise yourself with the basics of ETF trading and the current trends in the market. Being able to speak knowledgeably about how trading platforms operate and the challenges they face will impress your interviewers and demonstrate your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to trading workflows or automated features. This will help you think on your feet and showcase your engineering background effectively during the interview.
✨Show Your Self-Starter Attitude
Since the ideal candidate is a self-starter, be prepared to share examples of how you've taken initiative in past roles. Discuss any projects where you identified a problem and implemented a solution independently, as this will highlight your proactive approach and fit for the dynamic environment.