Head of Quantitative Analysis | London, UK

CMC Markets; London; On-site; GBP 60,000 - 120,000; Full time

Job summary

An established industry player is seeking a Head of Quantitative Analysis to spearhead a dynamic quant team. This pivotal role involves developing innovative trading strategies and financial models, while ensuring compliance with market standards. You will collaborate closely with various teams to translate complex quantitative research into scalable, automated solutions. Your leadership will foster a culture of innovation and continuous improvement within the team. If you are passionate about quantitative finance and ready to make a significant impact in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• Lead the development of quant models for trading and market-making.
• Strong Python skills with experience in financial mathematics and machine learning.

Responsibilities

• Oversee the design and refinement of automated trading systems.
• Mentor and upskill quant analysts and developers in a high-performing team.

Skills

Quantitative Finance

Financial Mathematics

Python Development

Statistical Analysis

Machine Learning

Communication Skills

Education

Advanced degree in Quantitative Finance

Degree in Computer Science

Tools

NumPy

Pandas

SciPy

CI/CD Pipelines

Time-Series Databases

Job description

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

1. Spearhead the R&D of sophisticated quant models for FX, equity, and derivatives trading and market-making.
2. Integrate advanced financial mathematics and statistical techniques to identify and exploit novel trading opportunities.
3. Utilize cutting-edge Python frameworks and libraries to prototype, develop, and deploy research findings into production-ready systems.

Algorithmic Trading Systems

1. Lead the design and refinement of automated trading systems, ensuring compliance with evolving market and regulatory standards.
2. 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:

1. Lead the research, design, and prototyping of next-generation trading strategies and risk management frameworks.
2. Direct the development of sophisticated analytical tools and back-testing frameworks, primarily in Python.
3. Oversee all aspects of code quality, system integration, and the deployment of automated trading systems.
4. Collaborate with the Financial Risk Management team on long-term risk valuation projects and best execution reporting processes.
5. Overall responsibility for R&D and prototyping of FX, equity and derivative pricing systems and risk management strategies, in liaison with trading heads.
6. Mentor and upskill quant analysts, researchers, and developers, promoting a culture of innovation, automation and continuous improvement.
7. Delegate complex projects and ensure effective resource management within an expanded, high-performing team.

KEY SKILLS AND EXPERIENCE

1. Advanced degree in Quantitative Finance, Financial Mathematics, Computer Science, or a related discipline.
2. Front-office experience in quantitative trading, with demonstrated success in managing risk and pricing complex financial products.
3. Deep understanding of financial mathematics, statistical analysis, and machine learning as applied to financial markets.
4. Strong Python development skills, including proficiency with libraries such as NumPy, Pandas, SciPy, and machine learning frameworks. Java experience is a bonus.
5. Proficiency with time-series databases, modern version control and CI/CD pipelines.
6. Familiarity with cloud-based technologies and scalable system architectures is a plus.
7. Strong communication skills, both written and spoken.
8. 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.