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- Tasks: Develop Python tools and C++ libraries for credit trading analysis.
- Company: Join a top-tier investment bank in London, renowned for its global market expertise.
- Benefits: Competitive salary of £140k - £170k with potential for flexibility based on experience.
- Why this job: Work directly with traders, impacting financial markets through data-driven insights.
- Qualifications: Advanced degree or equivalent experience in quantitative modelling and credit markets required.
- Other info: Opportunity to join a global team of Quantitative Strategists.
The predicted salary is between 112000 - 136000 £ per year.
Our client is a tier 1 investment bank in London who are looking for a highly analytical problem solver with front office expertise in quantitative modeling and financial markets. The role is VP level and with a base salary range of £140k - £170k (maybe some flex to increase - depending on experience).
Join a global team of Quantitative Strategists and work directly with traders in credit markets (EM, bonds, derivatives, structured products). Please find key elements of the role below:
- Key Responsibilities:
- Develop and maintain Python desk tools and C++ analytics libraries
- Conduct market risk stress testing and analyze key risk drivers
- Design and implement pricing models and hedging strategies
- Support traders and risk functions with data-driven insights
- What We’re Looking For:
- Deep understanding of credit markets and derivatives pricing
- Experience with large dataset analysis and quantitative modeling
- Advanced degree (PhD/Master’s) or equivalent experience
VP Quant Strat - Credit Trading | Global Markets employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Quant Strat - Credit Trading | Global Markets
✨Tip Number 1
Network with professionals in the credit trading space. Attend industry conferences or webinars where you can meet Quantitative Strategists and traders. Building these connections can provide insights into the role and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in quantitative modelling and financial markets. Follow relevant publications, blogs, and forums to understand current challenges and innovations in credit trading, which can help you during interviews.
✨Tip Number 3
Brush up on your Python and C++ skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve developing desk tools or analytics libraries to showcase your expertise.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to market risk stress testing and pricing models. Use platforms like LeetCode or HackerRank to sharpen your analytical skills and get comfortable with coding challenges.
We think you need these skills to ace VP Quant Strat - Credit Trading | Global Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative modeling and financial markets. Emphasise any relevant roles where you've developed Python tools or worked with C++ analytics libraries.
Craft a Strong Cover Letter: In your cover letter, clearly articulate your understanding of credit markets and derivatives pricing. Mention specific projects or experiences that demonstrate your analytical problem-solving skills and ability to support traders with data-driven insights.
Highlight Relevant Skills: When detailing your skills, focus on your proficiency in Python and C++, as well as your experience with large dataset analysis. Use concrete examples to illustrate how you've applied these skills in previous roles.
Showcase Your Education: If you have an advanced degree (PhD/Master’s), make sure to highlight this prominently in your application. Discuss any relevant coursework or research that aligns with the responsibilities of the VP Quant Strat role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Analytical Skills
As a VP Quant Strat, you'll need to demonstrate your analytical prowess. Be prepared to discuss specific examples of how you've solved complex problems in quantitative modelling or financial markets. Use data and metrics to back up your claims.
✨Familiarise Yourself with Python and C++
Since the role involves developing Python desk tools and C++ analytics libraries, brush up on your programming skills. Be ready to discuss your experience with these languages and how you've applied them in previous roles, especially in relation to market risk stress testing.
✨Understand Credit Markets Deeply
A deep understanding of credit markets is crucial for this position. Research current trends, key players, and recent developments in the credit trading space. Prepare to discuss how these factors influence pricing models and hedging strategies.
✨Prepare for Technical Questions
Expect technical questions related to quantitative modelling and large dataset analysis. Review common methodologies and be ready to explain your thought process. Practising with mock interviews can help you articulate your knowledge clearly and confidently.
