The Technology Group is a key enabler to keep the business moving forward and is constantly exploiting state-of-the-art information technologies to enhance our clients ability to be the leading global long-term investment firm.
Our clients are looking for a suitable candidate to join the technology group as a research engineer, responsible for quantitative research to value-add to the investment making process.
Embedded within Real Estate, you are to make use of data, science, technology and quantitative skillsets to value add directly to the investment team by providing material relevant insights supporting investment decisions.
The role spans from data ingestions and cleansing of various types of structured and unstructured data for research purposes to modelling, back testing, evaluation of model performances and “productionalize” models.
As a person with strong analytical reasoning and conceptual thinking skills, you will use your data analytics know-how to bring value to the business. The right candidate will have a passion for discovering solutions hidden in data and working with stakeholders to improve business outcomes.
As an excellent team player with a collaborative mind-set, you must be comfortable working with a wide range of stakeholders and functional teams and have a proven ability to drive business results with their data-based insights.
You will also work alongside experienced professionals and continue to learn.
Master’s or PhD in Statistics, Mathematics, Computer Science or other quantitative fields.
Minimum 2 years of experience manipulating data sets and building statistical models
Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from data
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Experience with handling data from various financial data providers and handling time series data will be advantageous
Ability to work in a dynamic environment and to deliver results extremely quickly
Strong collaboration skills, ability to partner and work effectively across teams and with business stakeholders
Good communication skills, ability to articulate technical concepts and drive discussions with stakeholders