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    • Defining and automating qualitative data alerts and reports.
    • Partnering closely with investment teams to ensure their data requirements are met.
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    • Experience with data engineering concepts for data science, including ELT processes, structured data transformation, and database technologies.
    • Experience with data visualisation tools.
    • Design and implement data processing workflows.
    • Experience with SQL and data analysis.
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    • Experience working with modern data warehouses such as Amazon Redshift Snowflake.
    • In this role, you will design, build, deploy, and improve ML/LLM-powered…
    • Solid foundation in statistics experimental design, and data visualisation tools (Tableau preferred).
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    • Bachelor degree with minimum 3 years' experience with data engineering for data science (e.g., ELT concepts, structured table transformation experience,…
    • Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business and data architecture…
    • Help ensure the integrity and accuracy of data by assessing and validating data quality, identifying anomalies, and working with data engineers to resolve data…
    • Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production…
    • The successful candidate will join a team of other data analysts and data scientists to engage in the following activities:
    • Curiosity and willingness to learn new domains (esp. data privacy).
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    • Review data architecture, data models, and governance processes to ensure data quality, compliance, and trusted insights.

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Job Post Details

Data Scientist - job post

Point72
3.6 out of 5 stars
Singapore
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Location

Singapore

Full job description

EXPERIENCE

Early Career

LOCATION

Singapore

FOCUS

Data Science & Analytics | Systematic Data

BUSINESS

Cubist

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.


Role

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 (CDS) group is looking for a Data Scientist to join our dedicated data 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.

As a Data Scientist in the team, this individual will 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

  • Onboarding novel datasets from a huge variety of sources into our platform
  • Develop, test and deploy data pipelines, applications and services
  • Re-shaping, aggregating, enhancing and creating features from datasets
  • Engaging with vendors and internal stakeholders to understand characteristics of datasets
  • Defining and automating qualitative data alerts and reports
  • Partnering closely with investment teams to ensure their data requirements are met
  • Perform preliminary analysis and research to be shared with investment teams

Requirements

  • Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
  • Strong programming skills in Python and SQL
  • Experience working with AWS, Linux and Airflow preferred but not required
  • Financial industry experience preferred but not required
  • Strong organization, communication and interpersonal skills
  • Attention to detail and a love of processes
  • Strong oral and written communication skills
  • Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
  • Ability to multitask and prioritize assignments
  • Commitment to the highest ethical standards
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