Senior Associate - Defence and Infrastructure Modelling

Line of Service Advisory Industry/Sector Not Applicable Specialism TRS Consulting Management Level Senior Associate Job Description & Summary In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks.

Join PwC’s Defence and Infrastructure Modelling team as a Senior Associate and use your analytical and modelling skills to support better-informed decisions across complex programmes. With significant transformation underway across UK Defence, you’ll develop and review robust cost and risk models supporting business cases, commercial decisions and major programmes. You’ll translate complex or uncertain requirements into practical, transparent and user-friendly solutions, applying relevant MOD and wider government standards.

Responsibilities

• While Defence will be a key focus, you’ll also have opportunities to apply your skills across wider government, infrastructure and other sectors.
• Develop, populate and review cost and risk models for complex programmes, business cases and commercial decisions, translating ambiguous requirements into robust analytical solutions.
• Design clear, practical and user-friendly models, primarily using Excel and potentially Power BI, applying appropriate modelling techniques and controls.
• Collaborate with clients, subject matter experts and PwC teams to gather data, challenge assumptions, interpret results and communicate modelling outputs clearly.
• Use automation, AI and digital tools to improve modelling efficiency and quality, while contributing to knowledge sharing, business development and projects across Defence and wider sectors.

Requirements

• Experience developing cost and analytical models, ideally within Defence, government or other complex programmes, translating requirements into robust decision-support tools.
• Highly proficient in Excel, with the ability to design, build, interrogate and review complex models confidently.
• Skilled at developing practical modelling approaches for new, complex or uncertain problems, using sound analytical judgement.
• Familiar with MOD and wider government guidance, including the Green Book, Aqua Book and Orange Book.
• Strong communication and stakeholder skills, able to explain complex analysis clearly and work effectively with technical and non-technical audiences.
• Proactive and adaptable, with an interest in broader modelling challenges.
• Experience with Power BI, Python, VBA, Power Query or quantitative risk tools such as @Risk or ModelRisk would be beneficial.
• Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, AI Fluency, AI-Human Collaboration, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Risk Analysis, Risk Model Implementation {+ 6 more} Desired Languages (If blank, desired languages not specified)

Benefits

• No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
• We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
• Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Travel

Requirements Up to 20% Available for Work Visa Sponsorship? No Government Clearance Required? Yes Job Posting End Date