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Data Scientist

New York, NY, United States

Role/Responsibilities:

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Our data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Responsibilities include:

- 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

- Attention to detail and a love of process

- Strong oral and written communication skills

Apply

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