About the role

Job Profile: Risk Modelling

Position/job title:	Senior Associate
Location:	Mumbai/Delhi
Type:	Permanent – Full - time
Grade details:
Grade:	Y
Years of experience:	2+ years

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

Confidentiality notice: The information contained in this document is confidential and intended for the specified recipients only.

C&G