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- Tasks: Build bespoke high-performance software and automate life cycle events in finance.
- Company: Leading trading firm in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on trading performance.
- Qualifications: 2-10 years experience in finance, expert-level Python, and strong C# skills.
- Other info: Collaborative environment with exciting challenges and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
A leading trading firm in London is seeking an exceptional Software Engineer who will work closely with trading and research functions. The role involves building bespoke high-performance software, maintaining data quality, and automating life cycle events across asset types.
The ideal candidate will have:
- 2-10 years of experience in a financial trading firm
- Expert-level Python skills
- Strong C# skills
Join this dynamic team to make a lasting impact on trading performance.
Software Engineer - High-Performance Finance Data Systems in London 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 Software Engineer - High-Performance Finance Data Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python and C# projects. This is your chance to demonstrate your expertise in high-performance software.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We all know how crucial they are in finance data systems, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Software Engineer - High-Performance Finance Data Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expert-level Python and strong C# skills in your application. We want to see how your experience aligns with the high-performance software we build, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention any relevant experience in financial trading firms and how it relates to the responsibilities outlined in the job description. We love seeing candidates who take the time to connect their background to our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role. Avoid fluff and focus on what makes you a great fit!
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 the role. Plus, it shows us you’re keen to join our dynamic team!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C# skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in a financial context. They’ll want to see how you can apply your expertise to high-performance software.
✨Understand the Trading Environment
Familiarise yourself with the trading firm's operations and the types of asset classes they deal with. Knowing how trading works and the importance of data quality will show that you're not just a coder but someone who understands the business side too.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges related to finance data systems, focusing on performance optimisation and automation. This will help you demonstrate your analytical skills and ability to think on your feet.
✨Show Your Team Spirit
Since you'll be working closely with trading and research functions, highlight your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to achieve common goals, as this will resonate well with their dynamic team culture.