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- Tasks: Develop and enhance high-performance trading algorithms for equity derivatives.
- Company: Join a dynamic team focused on cutting-edge algorithmic trading solutions.
- Benefits: Enjoy a collaborative environment with direct access to traders and decision-makers.
- Why this job: Shape the future of trading technology and drive innovation in market-making strategies.
- Qualifications: Strong C++ skills and quantitative background required; low latency expertise is essential.
- Other info: Work on exciting greenfield projects that impact real-time market dynamics.
The predicted salary is between 48000 - 72000 £ per year.
Quant Algo Developer – Equity Derivatives – Market Making
Contact email: hhorton@vertuspartners.com
Job ref: CPP/HH/1302_1744135677
Are you passionate about algorithmic trading and building cutting-edge solutions in a fast-paced, trader-facing environment? We\’re looking for an experienced C++ Quant Developer to join a growing team and work on high-performance trading algorithms in the Equity Derivatives space.
What You\’ll Be Doing:
- Algorithm Development: Enhance and refine existing equity trading algorithms while contributing to the development of new market-making strategies.
- Low-Latency Trading: Build execution and market-making algorithms that interact directly with exchanges, including automated RFQ pricing for options.
- Quantitative Problem-Solving: Work closely with traders to develop solutions for portfolio optimisation, large-scale data analysis, and statistical modeling.
- Market Structure & Trading Expertise: Apply your knowledge of market microstructure, volatility trading, options pricing, hedging, and Delta1 products (futures, ETFs, stocks, swaps).
- Ownership & Collaboration: Engage directly with traders and the Head of the EqD desk, ensuring seamless integration of algorithms into trading strategies.
Requirements:
- Strong C++ (C++17, C++20) & KDB/Q Experience: Essential for building robust, high-performance trading systems.
- Low Latency Expertise: A strong understanding of optimizing for speed in trading environments.
- Quantitative Background: Hands-on experience with large data analysis, statistical techniques, and trading models.
- Trader-Facing Mindset: Ability to engage with the desk, understand business needs, and take ownership of algo development.
Why Apply?:
- Work on greenfield algorithmic trading projects, driving innovation in execution and market-making strategies.
- Be part of a highly interactive trading environment with direct access to traders and decision-makers.
- Shape the future of trading technology, building and optimizing algorithms that impact real-time market dynamics.
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Quant Algo Developer - Equity Derivatives - Market Making employer: Vertus Partners
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Algo Developer - Equity Derivatives - Market Making
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and market-making strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the trading and quantitative finance sectors. Attend industry conferences or meetups where you can connect with traders and developers, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 3
Brush up on your C++ skills, especially focusing on C++17 and C++20 features. Consider working on personal projects or contributing to open-source projects that involve low-latency trading systems to showcase your expertise.
✨Tip Number 4
Prepare to discuss your quantitative problem-solving skills by reviewing case studies or examples from your past experiences. Be ready to explain how you've tackled complex data analysis or statistical modelling challenges in a trading context.
We think you need these skills to ace Quant Algo Developer - Equity Derivatives - Market Making
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++ and KDB/Q, as well as any relevant quantitative skills. Focus on projects or roles where you've developed trading algorithms or worked in low-latency environments.
Craft a Strong Cover Letter: In your cover letter, express your passion for algorithmic trading and detail how your background aligns with the requirements of the role. Mention specific experiences that demonstrate your ability to work closely with traders and develop market-making strategies.
Showcase Quantitative Skills: Include examples of your quantitative problem-solving abilities in your application. Discuss any relevant projects involving large-scale data analysis, statistical modelling, or portfolio optimisation to illustrate your expertise.
Highlight Collaboration Experience: Emphasise your experience working in collaborative environments, especially with traders or other stakeholders. This will show that you can effectively engage with the desk and understand business needs, which is crucial for this role.
How to prepare for a job interview at Vertus Partners
✨Showcase Your C++ Expertise
Be prepared to discuss your experience with C++17 and C++20 in detail. Highlight specific projects where you optimised performance or built trading systems, as this will demonstrate your technical proficiency.
✨Demonstrate Quantitative Skills
Expect questions that assess your understanding of statistical techniques and large data analysis. Prepare examples of how you've applied these skills in real-world scenarios, particularly in trading contexts.
✨Understand Market Microstructure
Familiarise yourself with concepts like volatility trading, options pricing, and hedging. Being able to discuss these topics will show your depth of knowledge and ability to engage with traders effectively.
✨Prepare for Problem-Solving Scenarios
You may be presented with quantitative problems during the interview. Practice solving algorithmic challenges or case studies related to portfolio optimisation and market-making strategies to showcase your analytical thinking.
