Data Scientist

Point72; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading financial firm in Singapore seeks a Data Scientist to join their team. The candidate will work on data management, implementation of research infrastructure, and support trading operations. This entry-level role requires a Ph.D. and at least one year of experience, along with strong programming skills in SQL and Python. The company emphasizes teamwork and innovative solutions in finance.

Qualifications

• Ph.D. required, preferably in computer science, mathematics, or statistics.
• At least 1 year of relevant experience as a Data Scientist or quantitative researcher.
• Strong programming skills, including SQL and Python.

Responsibilities

• Identify new data sets and engage with vendors.
• Build processes to ingest and clean datasets.
• Generate descriptive statistics and propose applications of data.

Skills

Data analysis

Statistical testing

Problem solving

Attention to detail

Communication

Education

Ph.D. in a related field

Tools

SQL

Python

C#

C++

Java

Job description

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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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