At a Glance
- Tasks: Lead a quant team to develop innovative trading strategies and financial models.
- Company: Join CMC Markets, a dynamic leader in financial services and trading solutions.
- Benefits: Enjoy a fast-paced environment with opportunities for remote work and professional growth.
- Why this job: Be at the forefront of quantitative finance, making impactful decisions in a collaborative culture.
- Qualifications: Advanced degree in Quantitative Finance or related field; strong Python skills required.
- Other info: Equal opportunities employer, welcoming diverse applicants from all backgrounds.
The predicted salary is between 72000 - 108000 £ per year.
CMC Markets requires a suitably skilled Head of Quantitative Analysis to lead a growing quant team responsible for developing novel trading strategies, financial models, and automation across pricing and risk management. A varied and fast-paced role, acting as a key strategic partner to senior management by translating quantitative research into scalable, automated market-making and trading solutions. Working closely with trading heads, the front office software engineers, the institutional sales and sales trading teams, and the market, credit, and liquidity risk managers.
Business Unit Responsibilities:
- Research and Development
Spearhead the R&D of sophisticated quant models for FX, equity, and derivatives trading and market-making. Integrate advanced financial mathematics and statistical techniques to identify and exploit novel trading opportunities. Utilize cutting-edge Python frameworks and libraries to prototype, develop, and deploy research findings into production-ready systems.
- Algorithmic Trading Systems
Lead the design and refinement of automated trading systems, ensuring compliance with evolving market and regulatory standards. Establish rigorous quality assurance frameworks for code and algorithmic strategies, with an emphasis on continuous improvement through automated testing and agile methodologies.
Key Individual Responsibilities:
- Lead the research, design, and prototyping of next-generation trading strategies and risk management frameworks.
- Direct the development of sophisticated analytical tools and back-testing frameworks, primarily in Python.
- Oversee all aspects of code quality, system integration, and the deployment of automated trading systems.
- Collaborate with the Financial Risk Management team on long-term risk valuation projects and best execution reporting processes.
- Overall responsibility for R&D and prototyping of FX, equity and derivative pricing systems and risk management strategies, in liaison with trading heads.
- Mentor and upskill quant analysts, researchers, and developers, promoting a culture of innovation, automation, and continuous improvement.
- Delegate complex projects and ensure effective resource management within an expanded, high-performing team.
Key Skills and Experience:
- Advanced degree in Quantitative Finance, Financial Mathematics, Computer Science, or a related discipline.
- Front-office experience in quantitative trading, with demonstrated success in managing risk and pricing complex financial products.
- Deep understanding of financial mathematics, statistical analysis, and machine learning as applied to financial markets.
- Strong Python development skills, including proficiency with libraries such as NumPy, Pandas, SciPy, and machine learning frameworks. Java experience is a bonus.
- Proficiency with time-series databases, modern version control, and CI/CD pipelines.
- Familiarity with cloud-based technologies and scalable system architectures is a plus.
- Strong communication skills, both written and spoken.
- Suitability to be an FCA SMCR Certification Function.
CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Quantitative Analysis (Basé à London)
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into the role and the company culture at CMC Markets.
✨Tip Number 2
Familiarise yourself with the latest trends in algorithmic trading and quantitative analysis. Stay updated on new Python libraries and frameworks that are being used in the industry, as this knowledge will help you stand out during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences in leading teams and projects. Be ready to share specific examples of how you've successfully developed trading strategies or automated systems, as this will demonstrate your capability for the Head of Quantitative Analysis role.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex quantitative concepts in simple terms. This is crucial for collaborating with non-technical stakeholders, so consider preparing a few key points to illustrate your ability to bridge the gap between technical and non-technical teams.
We think you need these skills to ace Head of Quantitative Analysis (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analysis, trading strategies, and Python development. Use specific examples that demonstrate your skills in financial mathematics and statistical techniques relevant to the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative finance and your leadership experience. Mention how your background aligns with CMC Markets' goals and how you can contribute to their quant team.
Highlight Relevant Projects: In your application, include details about any relevant projects you've worked on, especially those involving algorithmic trading systems or risk management frameworks. This will help illustrate your hands-on experience and technical skills.
Showcase Communication Skills: Since strong communication skills are essential for this role, ensure your application reflects your ability to convey complex ideas clearly. Use concise language and structure your application logically to demonstrate your communication prowess.
How to prepare for a job interview at Golden Bees
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative finance and financial mathematics. Highlight specific projects where you've developed trading strategies or risk management frameworks, and be ready to explain the methodologies you used.
✨Demonstrate Python Proficiency
Since strong Python skills are crucial for this role, come equipped with examples of how you've used Python libraries like NumPy and Pandas in your previous work. Consider discussing any automated systems you've developed or contributed to.
✨Communicate Effectively
As a key strategic partner, your ability to communicate complex ideas clearly is vital. Practice explaining your past projects and findings in a way that non-technical stakeholders can understand, showcasing your strong communication skills.
✨Prepare for Technical Questions
Expect technical questions related to algorithmic trading systems and statistical techniques. Brush up on your knowledge of machine learning applications in finance and be ready to solve problems on the spot, demonstrating your analytical thinking.