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:

• Ph.D. in computer 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.

Apply:-

Please send a PDF CV to quants@ekafinance.com