Head of Data & Analytics

Head of Data & Analytics

The Head of Data & Analytics will lead the organisation’s data and analytics function, covering data warehousing, strategy, and advanced analytics. The role will build and lead a strong analytics team and work with business, product, risk, and technology leaders to turn data into insights for measurable business outcomes.

Key Responsibilities:

• Develop and execute the organisation’s data and analytics strategy in line with business, product, risk, and technology priorities.
• Ensure data quality and analytics capability. Oversee data cleansing, preparation, transformation, feature engineering, dashboards, reporting, and analytical frameworks.
• Direct quantitative research and advanced analytical initiatives that improve commercial performance.
• Lead advanced analytics. Oversee the development, validation, implementation, monitoring, and improvement of data models and other predictive solutions.
• Recruit, develop, and manage a high-performing team of data scientists and analysts.
• Turn data into business decisions. Lead analytical research and translate complex findings into clear recommendations that improve business performance, risk management, and customer experience.
• Ensure responsible use of data, that data and analytics activities comply with relevant data protection, risk, compliance, and regulatory requirements.
• Establish appropriate standards for model governance, documentation, performance monitoring, controls, and lifecycle management.

Requirements:

• Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
• Significant experience in data science, advanced analytics, quantitative research, statistical modelling, or machine learning.
• Proven experience developing and managing predictive models, preferably in financial services or fintech.
• Strong understanding of model development, validation, monitoring, documentation, and governance.
• Practical experience with data preparation, feature engineering, large datasets, cloud data platforms, visualisation tools, and machine-learning environments.
• Proven ability to lead technical teams and work effectively with senior stakeholders across business, product, risk, and technology.
• Able to set direction while remaining hands-on and effective in a fast-moving and growing organisation.