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- Tasks: Design and implement software solutions for risk analysis in Fixed Income.
- Company: Join a global leader in quantitative investment management.
- Benefits: Enjoy flexible working, onsite gym, and fully catered meals.
- Why this job: Make a significant impact in a tech-driven environment with innovative tools.
- Qualifications: 5+ years Python experience and strong Fixed Income product knowledge.
- Other info: Dynamic team culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A chance to join a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. They are a technology- and data-driven group implementing a scientific approach to investing. The Risk team builds and maintains tools to support risk analysis and reporting for their trading business. This particular opportunity will provide significant contributions to their Fixed Income function. You will design and implement software solutions that support core risk and PnL systems.
Requirements:
- 5+ years of commercial Python experience
- Extensive Fixed Income product knowledge: bonds, swaps, futures, options and related derivatives
- Strong grasp of risk measures and sensitivities, and how they apply to Fixed Income trading
- Experience building or extending risk systems in a front-office or middle-office environment
- Familiarity with databases, APIs and microservices architecture
Benefits:
- Flexible/ hybrid working
- Dress down
- Fully catered (breakfast, lunch and snacks)
- Onsite gym
- Private health insurance
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Quantitative Developer – Fixed Income (Risk) in London employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer – Fixed Income (Risk) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in quantitative roles. 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 built any cool projects or tools related to risk analysis or Fixed Income, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding risk measures. Practice coding challenges and be ready to discuss how your experience aligns with the role's requirements.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Developer – Fixed Income (Risk) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of Python experience and your knowledge of Fixed Income products. 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 passionate about risk analysis and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role involves designing software solutions, make sure to mention any experience you have with databases, APIs, and microservices architecture. We’re looking for someone who can hit the ground running, so highlight those technical chops!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Oxford Knight
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially as they relate to risk systems. Be ready to discuss specific projects where you've used Python to solve complex problems, particularly in a Fixed Income context.
✨Understand Fixed Income Products
Dive deep into the world of bonds, swaps, and derivatives. Be prepared to explain how these products work and their relevance to risk measures. Having real-world examples of how you've applied this knowledge will impress the interviewers.
✨Familiarise Yourself with Risk Measures
Get a solid grasp of key risk measures and sensitivities. Be ready to discuss how these apply to trading decisions and risk management. Showing that you can connect theory to practice will set you apart.
✨Showcase Your System Design Skills
Be prepared to talk about your experience with building or extending risk systems. Highlight any work you've done with databases, APIs, or microservices architecture, and how it has improved efficiency or accuracy in risk analysis.
