Overview
We are passionate about data.
We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.
About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange.
The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Responsibilities
Identification of new data sets
Engaging with vendors to understand characteristics of datasets
Building processes and technology tools to ingest, tag and clean datasets
Analysis of datasets to generate descriptive statistics and propose potential applications of data
Research of potential alpha signals for presentation to Portfolio Managers
Monitoring and enhancing the automated data collection and cleansing infrastructure
Research on new technologies for improved data management and efficient retrieval
Qualifications
Ph.D. in computer science, mathematics, physics, statistics or another discipline involving rigorous quantitative analysis techniques
At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role
Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling
Experience applying statistical tests to large data sets
Programming skills in SQL, T-SQL, SQL Server or PL-SQL
Programming skills in Python and at least one of C#, C++, or Java
Financial industry experience preferred but not required
Experience dealing with intraday, tick and order book data a plus
Strong problem solving skills
Intellectual curiosity and a love of learning
Attention to detail and a love of process
Strong oral and written communication skills
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
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