Cross Asset Data Scientist / NY / London/ Asia

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 Monitoring and enhancing the automated data collection and cleansing infrastructure Research on new technologies for improved data management and efficient retrieval

Requirements:

inputer science, mathematics, physics, statistics or another discipline involving rigorous quantitative analysis techniques 3+ years 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, TSQL, 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.

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