Who Are We Founded in 1896, Knight Frank was registered as Knight Frank LLP a Limited Liability Partnership, on 3 November 2003, registered in England & Wales at 55 Baker Street, London, W1U 8AN with the registered number of OC305934. Headquartered in London, UK, Knight Frank is one of the world's leading independent real estate consultancies. We work responsibly in partnership to enhance people's lives and environments in over 50 Markets, 600 Offices, 20,000 People, 1 Global Network. At the heart of all we do are our Clients. A relationship built on trust is vital. As trusted partners in property, we act with integrity and care, understanding our clients’ unique needs and consistently thinking about the bigger picture to provide personalised, clear and considered advice across all areas of property. Through our deep understanding of key markets and sectors – both emerging and established – we are dedicated to meeting and exceeding their property goals. A true partnership is a balanced one, and our People are passionate about, and committed to, making our business inclusive and diverse. We give every individual the space and opportunity to perform at their best and be recognised for the immense value they bring. We empower everyone to have autonomy in their role and encourage them to use their voice in how we can make a positive impact as a firm and shape the future of real estate, the built environment and the impact on the communities we serve. Our collaborative and engaged teams provide excellent and dedicated client service. In our workplace, opinions are respected, everyone is invited to contribute to the success of our business and innovation, and new ideas are celebrated. In 2021 we celebrated our 125th anniversary and set out Our Desired Future, cemented in three pillars: People Potential, Client Centricity and always Creating our Future, together. Learn more about what sets us apart here. About The Role Knight Frank is looking for an enthusiastic and innovative Econometrician/Statistician with data skills to join its market-leading Global Research team for a project central to its flagship publication, the Wealth Report. This role is a 3 month fixed term contract. We are looking for a skilled econometrician or to lead the development, refinement, and ongoing maintenance of our proprietary wealth sizing model. The ideal candidate will possess a deep knowledge of regression methodologies and statistical distributions and will be adept at research and data sourcing to identify and extract relevant global statistics at the national level. The applicant must also be comfortable with research and data sourcing approaches to identify and locate relevant statistics globally at a national level. Based in our Baker Street office, you will play a key role helping Knight Frank to maintain its position providing key insights on global wealth patterns for our partners and clients across our global network. This position reports to the Head of Data Science on a short-term contract. We seek someone with strong experience in building inferential models, distinct from machine-learning methods, who can work independently. Operating environment The role is based within the Research Analytics Department in wider Global Research Sub-Division at Knight Frank’s 55 Baker Street office Day-to-day management will be undertaken by the Head of Data Science with direction provided by our Global Head of Research. The role is focussed specifically on the delivery of research projects for the Wealth Report The role - technical specifications Working with technical colleagues in the wider Research team, specifically those in Analytics (Data Science, Data Engineering, Geospatial and Innovation) to perform econometric analysis on global wealth sizing Ability to independently locate and source relevant information from national data sources Ability to manipulate, cleanse and analyse complex data, including of key external and proprietary databases Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly Experience Relevant university degree At least 2 years of relevant experience Extensive econometric/statistical knowledge, with a focus on inferential modelling and statistical distributions. We expect you to be able to work with economic factors, such as Gini coefficients and Lorenz curves Problem-solving skills Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail Knowledge of python or R essential Personal skills suited to working within a professional yet friendly and dynamic team environment Self-motivated with the ability to work independently on projects Competitive salary Please note: this is a Direct Search led by Knight Frank. Applications from recruitment agencies will not be accepted nor will fees be paid for unsolicited CVs, even if provided by PSL agencies.