Data Reliability Engineer — Finance Data Ops

Point72 Asset Management, L.P

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+

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Job summary

Cubist Systematic Strategies, an affiliate of Point72, designs and operates a broad data infrastructure to support predictive modeling for trading strategies. You will play a pivotal role in maintaining thousands of ETL pipelines that feed portfolio managers globally, ensuring accuracy, timeliness, and reliability across the data platform.

The role emphasizes hands-on data operations, incident management, and collaboration with data scientists, portfolio managers, and external data vendors to

Qualifications

  • Bachelor’s degree in computer science or a related field.
  • 3+ years of experience in a client-facing support or operations role.
  • Strong proficiency in SQL Server and Python, with experience in AWS and cross-platform environments (Windows/Linux).
  • Attention to detail and well-defined processes.
  • Familiarity with Databricks is a plus.

Responsibilities

  • Own thousands of data ETL pipelines powering trading and investment decisions.
  • Actively manage and resolve data incidents in a fast-paced trading environment.
  • Design and build tooling, automation, and robust documentation to improve operational efficiency and data quality.
  • Hands-on data operations including data validation, remediation, and enrichment.

Skills

SQL Server
Python
AWS
Windows & Linux

Education

Bachelor's degree in computer science or related field

Tools

Databricks

Job description

Cubist Systematic Strategies, an affiliate of Point72, designs and operates a broad data infrastructure to support predictive modeling for trading strategies. You will play a pivotal role in maintaining thousands of ETL pipelines that feed portfolio managers globally, ensuring accuracy, timeliness, and reliability across the data platform.

The role emphasizes hands-on data operations, incident management, and collaboration with data scientists, portfolio managers, and external data vendors to

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