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- Tasks: Join our team to develop and optimise trading models for non-linear derivatives.
- Company: We're an award-winning energy and sustainability group driving the low-carbon economy.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and growth.
- Why this job: Be at the forefront of financial solutions while making a positive environmental impact.
- Qualifications: Advanced degree in a quantitative field and strong programming skills required.
- Other info: We value diversity and are committed to equal opportunities for all.
The predicted salary is between 43200 - 72000 £ per year.
Our mission is to facilitate the transition to a low-carbon economy by providing innovative financial solutions to our clients. We are not just any energy and sustainability group; we're a dynamic, award-winning powerhouse! At the forefront of environmental innovation, we lead the charge in providing cutting-edge solutions for large-scale energy consumers.
We are seeking an exceptional Quantitative Developer to join our Structured Products Trading Team. In this role, you will work at the intersection of mathematical modelling, software engineering, and financial markets to build, optimize, and maintain our capability infrastructure that drives our non-linear derivatives trading operations.
Key responsibilities:- Work closely with the Trading team to understand their needs and deliver effective solutions.
- Design, implement, and optimise models for pricing and risk management of complex non-linear derivatives (e.g., options, volatility products, and exotics).
- Develop high-performance numerical methods for model calibration, Monte Carlo simulations, and pricing.
- Build and maintain real-time trading systems that interface with market data feeds and execution venues.
- Create data visualisation tools to represent complex risk profiles and market dynamics.
- Collaborate with traders to implement new trading strategies.
- Develop and maintain a robust codebase to enhance performance, stability, and scalability.
- Contribute to the continuous refinement of trading infrastructure to adapt to evolving market conditions.
- Identify opportunities to eliminate or automate the remediation of recurring issues, improving the overall operational stability of software applications and systems.
- Advanced degree in Computer Science, Mathematics, Physics, Engineering, or related quantitative field.
- Minimum two years of professional experience in quantitative finance or a related field.
- Strong programming skills in C++ and Python.
- Understanding of derivatives pricing theory, stochastic calculus, and numerical methods.
- Experience with performance optimisation techniques and parallel computing.
- Knowledge of financial markets, particularly options and exotics products.
- Familiarity with Linux/Unix environment and version control systems (Git).
- Excellent problem-solving skills and attention to detail.
The CF Group is committed to ensuring equal opportunities, fairness of treatment, dignity and respect, and the elimination of all forms of discrimination in the workplace for all employees/contractors and job applicants.
Trading Desk Quant employer: CFP Energy (UK) Ltd
Contact Detail:
CFP Energy (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Desk Quant
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and derivatives pricing. 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 trading and quantitative finance sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest developments in the field. This can lead to valuable insights and even job referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in C++ and Python. Consider working on personal projects or contributing to open-source initiatives that demonstrate your coding abilities and understanding of financial models, which can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to numerical methods and stochastic calculus. Use platforms like LeetCode or HackerRank to sharpen your skills, as this will help you feel more confident and ready to tackle any challenges during the interview process.
We think you need these skills to ace Trading Desk Quant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative finance, programming skills in C++ and Python, and any projects related to derivatives pricing or risk management. Use specific examples that demonstrate your problem-solving abilities and attention to detail.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the company's mission to facilitate a low-carbon economy. Discuss how your background in mathematical modelling and software engineering aligns with the responsibilities of the Trading Desk Quant position.
Showcase Relevant Projects: If you have worked on any projects involving high-performance numerical methods, Monte Carlo simulations, or real-time trading systems, be sure to include these in your application. Highlight your contributions and the impact they had on the project's success.
Prepare for Technical Questions: Anticipate technical questions related to derivatives pricing theory, stochastic calculus, and numerical methods during the interview process. Brush up on these topics and be ready to discuss your approach to solving complex problems in quantitative finance.
How to prepare for a job interview at CFP Energy (UK) Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in C++ and Python. Bring examples of past projects or code snippets that demonstrate your ability to implement complex models and algorithms, especially those related to derivatives pricing and risk management.
✨Understand the Financial Concepts
Brush up on your knowledge of derivatives pricing theory, stochastic calculus, and numerical methods. Be ready to explain these concepts clearly, as well as how they apply to the role of a Quantitative Developer in trading operations.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle hypothetical scenarios or case studies during the interview. Show how you approach problem-solving, particularly in high-pressure situations, and highlight any experience you have with performance optimisation techniques and parallel computing.
✨Engage with the Trading Team's Needs
Research the company’s trading strategies and be ready to discuss how you can contribute to their goals. Ask insightful questions about their current challenges and express your enthusiasm for collaborating with traders to develop innovative solutions.
