At a Glance
- Tasks: Lead a quant team to develop innovative trading strategies and financial models.
- Company: CMC Markets is a dynamic financial services company focused on trading and investment solutions.
- Benefits: Enjoy a fast-paced environment, mentorship opportunities, and a culture of innovation.
- Why this job: Be at the forefront of algorithmic trading and make a real impact in the financial markets.
- Qualifications: Advanced degree in Quantitative Finance or related field; strong Python skills required.
- Other info: Join a diverse team that values equal opportunities and encourages creativity.
The predicted salary is between 60000 - 84000 Β£ 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.
Head of Quantitative Analysis | London, UK employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Head of Quantitative Analysis | London, UK
β¨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with people who work at CMC Markets or similar companies. Building relationships can give you insights into the company culture and potentially lead to referrals.
β¨Tip Number 2
Stay updated on the latest trends in quantitative analysis and algorithmic trading. Follow relevant blogs, podcasts, and research papers to ensure youβre knowledgeable about current methodologies and technologies that are being used in the industry.
β¨Tip Number 3
Demonstrate your Python skills through personal projects or contributions to open-source projects. Having a portfolio of your work can showcase your ability to develop and deploy trading strategies, which is crucial for this role.
β¨Tip Number 4
Prepare to discuss your experience with risk management and pricing complex financial products in detail during interviews. Be ready to provide examples of how you've successfully managed risk in previous roles, as this will be a key focus for the hiring team.
We think you need these skills to ace Head of Quantitative Analysis | London, UK
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in quantitative analysis, algorithmic trading, and Python development. Use specific examples that demonstrate your success in managing risk and pricing complex financial products.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Head of Quantitative Analysis role. Discuss your advanced degree, relevant experience, and how your skills align with the responsibilities outlined in the job description.
Showcase Technical Skills: Emphasise your proficiency in Python and any relevant libraries like NumPy and Pandas. If you have experience with machine learning frameworks or cloud-based technologies, make sure to mention these as well.
Highlight Leadership Experience: Since this role involves mentoring and leading a team, be sure to include any previous leadership roles or experiences where you successfully managed projects or teams. This will demonstrate your capability to lead the quant team effectively.
How to prepare for a job interview at Job Traffic
β¨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative analysis, particularly in relation to FX, equity, and derivatives trading. Highlight specific projects where you've developed trading strategies or financial models, and be ready to explain the methodologies you used.
β¨Demonstrate Your Python Proficiency
Since strong Python skills are crucial for this role, come equipped with examples of how you've used Python libraries like NumPy, Pandas, and SciPy in your previous work. Consider discussing any automated systems you've developed and how they improved trading efficiency.
β¨Understand the Regulatory Landscape
Familiarise yourself with the current market and regulatory standards that affect algorithmic trading. Be ready to discuss how you ensure compliance in your trading strategies and the importance of quality assurance in your work.
β¨Prepare for Leadership Questions
As a potential leader of a quant team, expect questions about your mentoring style and how you promote a culture of innovation. Think of examples where you've successfully led teams or delegated complex projects, showcasing your ability to manage resources effectively.