Data Scientist / Engineer

Coverage Area
Asset Management
Institution Type
Asset Management Firm
Data Scientist

The purpose of the role is to provide advanced data support and analytics to the team in deploying quantitative investment strategies across a range of asset classes. Key Responsibilities -Evaluate, recommend and implement solutions in the areas of data ingestion, storage and management -Collaborate with the PM/Research to evaluate and analyze noisy, unstructured data -Build scalable models and algos to clean, visualize, and analyze large datasets –Generate insights and signals for research Experience / Skills -BA or MA degree in technical disciplines including engineering, computer science, and applied sciences. Background in Fin. Eng., Math, or Stats 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/alternative database technologies (SQL and NoSQL) -Experience in statistical modelling and machine learning to develop robust predictive models -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 data types across varying frequencies and complexities -Fluency in R, Python and/or other similar languages -Adept in the use of third-party visualization tools (Spotfire, Tableau) -Ability to work in a challenging environment and creative in coming up with solutions to solve complex problems