Senior Associate - Risk Modelling

Job Profile: Risk Modelling

Purpose of the role:

To support NHS organisations and wider healthcare systems in improving financial sustainability, operational performance, and patient outcomes through risk modelling, analytics, and data-driven insights. The role involves designing and delivering quantitative models and analytical solutions, while working flexibly across multiple projects and business domains.

Key responsibilities:

• Develop and implement risk, forecasting, and scenario models to support NHS operational and financial decision-making (e.g., demand, capacity, waiting lists, workforce planning)
• Conduct benchmarking analyses across NHS organisations to identify variation in performance, productivity, and financial outcomes
• Perform scenario and sensitivity analysis to assess financial and operational risks
• Analyse large datasets to generate actionable insights
• Develop dashboards, reports, and presentations to communicate insights effectively
• Work flexibly across multiple projects, clients, and areas of specialism, contributing to both proposals and delivery
• Ensure adherence to data governance, NHS standards, and regulatory requirements

Education and qualifications:

• Degree in a quantitative discipline (e.g., mathematics, statistics, economics, engineering)
• Postgraduate qualification (e.g., MSc, MBA, or equivalent) preferred

Skills & Experience:

Core skills and experience required for this role include:

• Strong experience in risk modelling, financial modelling, or data analytics
• Proficiency in tools such as Excel, Alteryx, Python, and/or BI tools (Power BI, Tableau)
• Exposure to risk quantification techniques (e.g., probabilistic modelling, Monte Carlo simulation)
• Strong written and verbal communication skills, with the ability to explain complex concepts clearly
• Collaborative mindset with ability to work across cross-functional teams and stakeholders

Desirable skills and experience required for this role include:

• Experience working with NHS or healthcare datasets (e.g., SUS, HES, EPR)
• Understanding of HRG systems, clinical coding (ICD-10, OPCS), and CC/MCC logic
• Knowledge of NHS financial flows and payment mechanisms
• Consulting experience, particularly within public sector or healthcare environments