Quantitative Analyst

London (Greater)
10 Jan 2018
09 Feb 2018
Contract Type
Full Time
Hometrack is the leading provider of Automated Valuation Models (AVMs), housing data and analysis to UK lenders, estate agents, government, developers and other key players in the housing market. The company was founded in 1999 and since January 2017 it has become part of the Zoopla Property Group (ZPG PLC), which is home to brands that allow consumers and businesses to make smarter property decisions.

Hometrack`s Analytics team are massively passionate about data. We are a team of high energy enthusiastic individuals who work together to pioneer some of the leading products and applications in the Proptech space.

We are seeking to appoint a Quantitative Analyst within our Analytics team, who has a deep understanding of statistics, mathematics or another quantitative discipline and ideally 1-2 years` work experience in model development and analysis.

Key Responsibilities

Conduct detailed analyses and quantitative modelling of property, mortgage and risk data

Support the Quant Analytics team on the enhancement of the algorithmic elements and statistical performance of the AVM and other related products

Own key strands of R&D activity and select/deploy the appropriate modelling approaches/techniques

Develop analytical models from concept to prototype

Provide statistical / mathematical support to the business generally


High-calibre degree in Statistics, Mathematics, Physics or another scientific discipline; an advanced degree is preferred

Excellent knowledge of probability theory, statistics and calculus

Strenuous attention to detail and strong emphasis on methodological integrity

1-2 years` hands-on experience applying the above within a business or research environment

Experience working with data mining techniques and predictive analytics, e.g. some of the following: time-series analysis, sampling, clustering, linear and logistic regression, neural networks, genetic algorithms, machine learning etc

Ability to cleanse and analyse large datasets, identify trends and develop/validate quantitative models

Experience with leading statistical software packages and programming languages, coupled with excellent knowledge of SQL Server (essential) and ideally SSIS

Creative thinking, initiative and outstanding problem-solving abilities

This job was originally posted as www.totaljobs.com/job/78963916