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- Tasks: Develop and optimise trading systems using C++ and Python for algorithmic trading.
- Company: Join a leading firm in the crypto and digital asset space, driving innovation.
- Benefits: Enjoy competitive pay, performance incentives, and a collaborative work culture.
- Why this job: Work on cutting-edge technology and strategies in a fast-paced environment.
- Qualifications: 5+ years in algorithmic trading; strong skills in C++, Python, and high-performance computing.
- Other info: Ideal for those passionate about finance and technology, with opportunities for growth.
The predicted salary is between 43200 - 72000 £ per year.
As a quantitative developer, you will play a pivotal role in building and optimising our quant trading systems, backtesting infrastructure, and research tools. You will collaborate closely with quantitative researchers, traders, and engineers to translate complex financial models into scalable, low-latency trading solutions.
Key Responsibilities:
- Develop and optimise high-performance trading systems in C++ and Python for algorithmic trading and execution.
- Implement, test, and deploy trading strategies based on research-driven insights.
- Enhance and maintain the research and backtesting framework to support strategy development.
- Work closely with quantitative researchers to understand their needs and develop efficient tools for data analysis, simulation, and strategy optimisation.
- Optimise market data pipelines and trade execution engines to improve performance and reduce latency.
- Ensure system reliability, scalability, and low-latency performance in a fast-paced trading environment.
- Utilise distributed computing and high-performance computing techniques to enhance algorithmic execution.
- Integrate with exchange APIs (REST/WebSocket/FIX) for real-time data processing and trading execution.
Required Qualifications:
- Strong understanding of quant trading logic, market structure, and execution strategies.
- Proficiency in C++ and Python, with experience in high-performance computing, multi-threading, and distributed systems.
- Experience with algorithmic trading systems in crypto, equities, FX, or derivatives at least 5 years.
- Knowledge of financial markets, risk management, and portfolio optimisation.
- Solid understanding of data structures, algorithms, and software architecture for building robust, scalable systems.
- Experience working in a Linux environment, including scripting and automation.
- Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or related fields.
Preferred Qualifications:
- Experience with low-latency trading systems and high-frequency trading (HFT).
- Background in distributed computing, machine learning, or AI-driven trading models.
- Familiarity with cloud computing, Kubernetes, or containerised environments.
- Strong debugging, profiling, and performance optimisation skills.
What We Offer:
- Competitive compensation and benefits, including performance-based incentives.
- A fast-paced, innovation-driven environment in the crypto and digital asset space.
- Opportunities to work on cutting-edge trading strategies and technology.
- A highly collaborative and research-orientated culture.
Financial Developer employer: Avenir Group
Contact Detail:
Avenir Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Developer
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and quantitative finance. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the financial development space, especially those who work with C++ and Python. Attend industry meetups or online webinars to connect with potential colleagues and gain insights into the skills and experiences that are highly valued.
✨Tip Number 3
Brush up on your coding skills, particularly in C++ and Python, by working on personal projects or contributing to open-source initiatives. This practical experience can be a great talking point in interviews and demonstrates your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss specific examples of how you've optimised trading systems or improved performance in previous roles. Being able to articulate your contributions and the impact they had will set you apart from other candidates.
We think you need these skills to ace Financial Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++ and Python, as well as any relevant work in algorithmic trading systems. Emphasise your understanding of quant trading logic and market structure.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about quantitative development and how your skills align with the role. Mention specific projects or experiences that demonstrate your ability to optimise trading systems and collaborate with researchers.
Showcase Relevant Projects: If you have worked on any projects related to high-performance computing, distributed systems, or low-latency trading, be sure to include these in your application. Provide details on your contributions and the technologies used.
Highlight Continuous Learning: Mention any ongoing education or certifications related to financial markets, risk management, or machine learning. This shows your commitment to staying updated in a fast-paced industry.
How to prepare for a job interview at Avenir Group
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in C++ and Python. Highlight specific projects where you've developed high-performance trading systems or worked with algorithmic trading strategies. This will demonstrate your technical expertise and relevance to the role.
✨Understand Quant Trading Logic
Make sure you have a solid grasp of quant trading logic, market structure, and execution strategies. Be ready to explain how these concepts apply to the systems you've built or optimised in the past, as this knowledge is crucial for the role.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges that involve data structures, algorithms, and performance optimisation, as these are key skills for a Financial Developer.
✨Demonstrate Collaboration Skills
Since the role involves working closely with quantitative researchers and traders, be prepared to discuss your experience in collaborative environments. Share examples of how you've effectively communicated technical concepts to non-technical team members.
