Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Head of Quantitative Analysis

eFinancialCareers
Greater London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst

Quantitative Analyst

Business Intelligence and Insights Manager

Business Intelligence and Insights Manager

Quantitative Researcher

Quantitative Analyst

Responsibilities



Leadership & Strategy

Provide strategic direction for the firm's quantitative analysis function, identifying new analytical opportunities, methodologies, and technological advancements
Lead, mentor, and develop a team of quantitative analysts and researchers
Collaborate with senior leadership to align quantitative analysis objectives with overall business goals
Build and maintain relationships with key stakeholders across trading, risk, and technology teams
Establish and monitor analytical standards and quality metrics for all quantitative research activities
Research & Development

Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools
Oversee the research process from hypothesis generation to model validation and implementation
Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit
Stay at the forefront of developments in quantitative finance, machine learning, and statistical modelling
Foster a culture of intellectual rigor, analytical excellence, and continuous improvement
Model Development & Validation

Ensure robust development and validation of quantitative models across all business functions
Oversee the implementation of analytical frameworks for portfolio optimization, performance attribution, and risk assessment
Guide the integration of new analytical tools and methodologies into existing workflows
Maintain modelernance standards and documentation requirements
Risk Management & Analysis

Implementprehensive analytical frameworks for risk measurement and monitoring
Ensure proper back testing, stress testing, and scenario analysis of all quantitative models
Work with trading and risk teams to develop appropriate analytical controls and reporting
Collaborate with the Risk team to support the analysis of market, credit, and operational risks through quantitative methods
What you'll need for this role

Education & Experience

Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics,puter Science, or Financial Engineering
5+ years of experience in quantitative analysis, research, or related fields
Proven track record of developing and implementing analytical models and frameworks
Experience managing teams of highly skilled quantitative professionals
Demonstrated expertise in statistical modelling and data analysis across multiple domains
Technical Skills

Deep understanding of statistical methods, econometric techniques, and their application to financial analysis
Proficiency in programming languagesmonly used in quantitative analysis (Python, R, SQL, MATLAB, etc.)
Strong knowledge of financial markets, instruments, and analytical frameworks
Experience with big data technologies, cloudputing, and advanced analytics platforms
Understanding of financial theory and practice, including portfolio theory, asset pricing, and risk management
Leadership & Personal Qualities

Strategic vision and analytical mindset
Exceptional problem-solving and critical thinking abilities
Outstandingmunication and presentation skills
Ability to lead and inspire teams of technical professionals
Intellectual curiosity andmitment to analytical excellence
Integrity and ethical conduct in all aspects of research and analysis
Number of openings
1 Job ID R_15163

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.