Cubist Data Scientist

Posted Yesterday
Singapore
Junior
Financial Services
The Role
The Data Scientist will work with a team to deliver accurate data and develop predictive models for finance. Responsibilities include identifying new data sets, engaging with vendors, building tools for data management, analyzing data, and researching alpha signals for Portfolio Managers.
Summary Generated by Built In

DESCRIPTION

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

Cubist’s 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

  • 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

REQUIREMENTS 

  • Ph.D. in computer science, mathematics, physics, statistics or another disciplines 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, 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


Top Skills

Python
The Company
HQ: Stamford, CT
1,691 Employees
On-site Workplace
Year Founded: 2014

What We Do

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

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