Senior ESG Analyst/Statistician | Residential Research
London, GB, W1U 8AN
Knight Frank
Knight Frank is looking for an enthusiastic and innovative Senior ESG Analyst/Statistician with data skills who is passionate about ESG to join its market-leading Global Research team at a crucial moment for the real estate sector.
We are the world’s leading independent international property consultancy, headquartered in the UK, offering agency and professional advice across Commercial, Residential and Rural sectors. Established in 1896, Knight Frank now comprises a global network of over 20,000 people in 600+ Offices across 50 Territories.
The increasing focus of policy makers, regulators, markets and investors on ESG, combined with a greater understanding of the role it plays in delivering better outcomes for society and the environment, is reshaping the world of property. Based in our Baker Street office, you will play a key role helping Knight Frank to respond to the rapidly developing needs of our clients at this exciting point in time and help drive forward the firm’s ambitious ESG agenda across global markets.
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 the Head of ESG Research and oversight provided by the Head of Analytics.
- The role is focussed specifically on the delivery of research outputs for the wider Global ESG strategy which will cover service lines only outside the UK.
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 to discover the impact of ESG on property market dynamics
- Ability to manipulate, cleanse and analyse complex data, including of key external and proprietary databases.
- Ability to use spatial/GIS analysis to find locational.
- Ability to see the bigger picture through the interrogation of relevant data to unearth trends.
- Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly.
Experience
- Relevant university degree
- 1-2 years of relevant experience
- Problem-solving skills
- Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail.
- Strong background in statistics or econometrics
- Spatial data statistics (e.g. Geopandas/ Open Street Map)
- Knowledge of python or R desirable
- Personal skills suited to working within a professional yet friendly and dynamic team environment.
- Self-motivated with the ability to work independently on projects.
- An interest in real estate and/or ESG is an advantage.
As a team, we aim to approach ESG objectively and analytically and this role will be crucial in this strategy. Working in a friendly and dynamic environment in partnership with our dedicated Head of ESG Research, as well as our Geospatial and Data Science specialists, you will source and analyse ESG-related data to deliver incisive evidence-based market intelligence that will enable Knight Frank and our clients to make better, more informed decisions.
#1 #LI-MF1
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.
We are committed to creating an inclusive, diverse and equitable workplace. We welcome applications from all individuals and provide equal opportunities for everyone. We also offer reasonable adjustments to ensure all candidates have a fair chance during the recruitment process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Econometrics Engineering Python R Research Statistics
Perks/benefits: Competitive pay
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