— . Evaluate, recommend and implement solutions in the areas of data ingestion, storage and management
— . Collaborate with the Portfolio Manager/ Researcher to evaluate and analyse noisy, unstructured data
— . Build scalable models and algorithms to clean, visualise, and analyse large datasets - generate insights and signals for research
— . Manage and lead team to research alpha signals to be included in systematic investment portfolios
— . Bachelor or Master's degree in technical disciplines including engineering, computer science, and applied sciences
— . Background in Financial Engineering, Mathematics, or Statistics is also desirable.
— . Experience working with large unstructured data sets and distributed computing tools (Mapreduce, Spark, Hadoop, Hive, etc.)
— . Experience with large enterprise databases, in traditional and alternative database technologies (SQL and NoSQL)
— . At least 5 years' experience in advanced statistical modelling and machine learning methods to develop robust predictive models
— . Hacking skills (ability to quickly prototype solutions for diverse needs)
— . Ability to scrape and retrieve data from a variety of unstructured sources (web, text)
— . Data manipulation - comfortable handling multiple data types across varying frequencies and complexities as well as familiar in feature selection and transformation
— . Fluency in R, Python and/or other similar languages
— . Adept in the use of third-party visualization tools (Spotfire, Tableau)
— A major financial firm has started a new systematic investment group with a mid to long-term horizon.
— The Team multiple investment strategies and portfolios, ranging from long-only equity, fixed income, credit, commodity, FX strategies, to multi-asset long-short. The team's objective is to generate alpha, using quantitative models that combine data, technology, and advanced analytics.
— They are looking for a suitable candidate to join the team as a Data Scientist. The individual will provide advanced data analytics to the team in deploying quantitative investment strategies across a range of asset classes.