Economics and Casemaking Consultant

Overview

In this role, you support the Economics & Casemaking team to assess and articulate the economic, social and spatial value of places. You’ll contribute to investment cases, strategies for inclusive and sustainable growth, and socio-economic analyses across regeneration, infrastructure and growth projects. You work within multidisciplinary teams, engaging public sector clients and stakeholders to deliver evidence-based advice. The role offers meaningful, socially useful work within a values-driven, collaborative environment at Arup.

Pay / Benefits

• profit share
• private medical insurance
• life assurance
• income protection
• flexible benefits
• learning opportunities

Responsibilities

• support projects across regeneration, economic development, infrastructure and growth
• contribute to business cases, strategy and vision documents, socio-economic analysis and impact assessments
• perform social value work and synthesize evidence for investment decisions
• engage with public sector clients, developers and stakeholders
• collaborate with multidisciplinary teams across Arup (planning, design, transport, sustainability)

Key requirements

• degree (or working towards one) in economics, geography, regeneration, real estate, public or social policy, business, town planning or related built-env discipline
• strong written communication and storytelling skills
• confident verbal communicator for meetings, workshops and presentations
• analytical and research skills with data interpretation and synthesis
• collaborative mindset and team-oriented
• good organisational skills and time-management
• genuine interest in built environment topics (urban regeneration, housing, transport, net zero)
• experience with GIS, PowerBI, economic modelling or Better Business Case training welcomed but not essential
• visa status: role does not meet UK sponsorship criteria; right to work in the UK required

• collaborative
• curious / motivated
• clear communication
• GIS
• PowerBI
• economic modelling

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