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Data Scientist

Point72

Singapore

On-site

SGD 60,000 - 90,000

Full time

Today
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Job summary

Point72 is seeking a Data Scientist for their Cubist Systematic Strategies team in Singapore. The role involves ensuring the delivery of accurate data to portfolio managers, engaging with data vendors, and analyzing large datasets to propose applications and signals for investment strategies. Ideal candidates will hold a Ph.D. and possess relevant programming and analytical skills, eager to contribute to a high-impact environment.

Qualifications

  • Ph.D. in a relevant quantitative analysis field is required.
  • At least 1 year of experience as a Data Scientist or in a similar role.
  • Experience with large datasets and statistical tests.

Responsibilities

  • Identify new data sets and engage with vendors.
  • Build processes for data ingestion, tagging and cleaning.
  • Analyze datasets for potential applications and monitor data infrastructure.

Skills

Problem solving
Attention to detail
Intellectual curiosity
Communication skills

Education

Ph.D. in computer science, mathematics, physics, statistics or related field

Tools

SQL
Python
C#
Java
PL-SQL

Job description

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.

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.

Job 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.

Job 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

Desirable Candidates

  • 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

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology

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