EMEA Real Estate Forecasting Analyst

CBRE UK; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

CBRE is seeking an Analyst for EMEA Forecasting in London to join a small team of economists and quants. You will develop quarterly commercial real estate forecasts, translate model outputs into clear narratives, and contribute to AI-enabled forecasting infrastructure.

You will work closely with CBRE’s research and data science groups, presenting insights to internal stakeholders and clients. A strong quantitative background and communication skills are essential.

Qualifications

• A degree in economics, data science, statistics, finance, or a related quantitative field - at undergraduate or postgraduate level; PhD candidates with commercial experience are encouraged to apply
• Solid grounding in econometrics or quantitative modelling, you understand how to build, validate, and interpret models
• Proficiency in Python is expected; experience with statistical packages such as EViews, Stata or R is a plus, and familiarity with SQL is welcome
• A genuine appetite for AI and machine learning - you follow development, have experimented with modern tools, and are excited about applying them to real-world economic and real estate problems
• Prior exposure to property research, investment management, banking, or consultancy is valued
• Strong written and verbal communication skills

Responsibilities

• Drive quarterly commercial real estate forecasts and contribute to ongoing model improvement, bringing both quantitative rigor and informed views on market trends and emerging considerations
• Author regular economic and property market commentary, translating forward-looking model outputs into clear, insight-driven narratives for our audiences
• Help develop views and forecasts across alternative real estate sectors, expanding the team’s analytical coverage and deepening market intelligence
• Build and maintain relationships with sector specialists and research teams across CBRE, incorporating on-ground sentiment and market intelligence into quantitative frameworks
• Present forecasting outputs to internal stakeholders and external clients, communicating complex analysis with confidence and clarity
• Collaborate closely with economists and data scientists on R&D projects, model innovation, and the integration of AI and data science techniques into the team’s forecasting infrastructure

Skills

Python

Econometrics

Quantitative modelling

Communication

SQL

Education

Quantitative degree (economics, data science, statistics, finance)

Tools

SQL

Stata

R

EViews

Job description

CBRE is seeking an Analyst for EMEA Forecasting in London to join a small team of economists and quants. You will develop quarterly commercial real estate forecasts, translate model outputs into clear narratives, and contribute to AI-enabled forecasting infrastructure.

You will work closely with CBRE’s research and data science groups, presenting insights to internal stakeholders and clients. A strong quantitative background and communication skills are essential.