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- Tasks: Design and enhance pricing and risk systems using C#.
- Company: Leading global trading firm in London with a dynamic environment.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Join a fast-paced trading environment and make an impact with your coding skills.
- Qualifications: Over 2 years of experience in financial technology, especially with C# and Python.
The predicted salary is between 36000 - 60000 £ per year.
A leading global trading firm in London is looking for a Junior Quant Developer to design and enhance pricing and risk systems. The role involves developing scalable solutions in C# and collaborating with trading teams. Ideal candidates have over 2 years of experience in financial technology, particularly with C#, Python, and financial instruments. This hybrid position offers an opportunity to work in a dynamic, fast-paced trading environment.
Hybrid Quant Developer (C#) – Front Office Tech, London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Quant Developer (C#) – Front Office Tech, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at trading firms. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got projects or code samples in C# or Python, make sure to highlight them during interviews. We want to see what you can do, so bring your A-game!
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of financial instruments and risk systems. We know it can be daunting, but being ready will help you stand out in the fast-paced environment.
✨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 Hybrid Quant Developer (C#) – Front Office Tech, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C#, Python, and financial technology. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit for our team. We love seeing genuine enthusiasm!
Showcase Your Problem-Solving Skills: In a fast-paced trading environment, problem-solving is key. Include examples in your application that demonstrate how you've tackled challenges in previous roles, especially in developing scalable solutions.
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’s super easy!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Inside Out
Make sure you brush up on your C# and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in financial technology. They’ll want to see how you can apply your knowledge to real-world problems.
✨Understand Financial Instruments
Familiarise yourself with various financial instruments and how they work. Being able to speak confidently about pricing and risk systems will show that you’re not just a coder but someone who understands the trading environment.
✨Show Your Collaborative Spirit
Since this role involves working closely with trading teams, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight any experiences where teamwork led to better solutions or outcomes.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges and be ready to explain your thought process. This will demonstrate your analytical skills and how you approach complex issues in a fast-paced setting.
