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Y-Intercept

Quantitative Developer - Data Engineering

Data EngineeringConfirmed live in the last 24 hours
Full-timeHong KongNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a STEM field.
  • Advanced proficiency in Python, including the ability to write clean, production-ready code focused on performance and maintainability.
  • Strong experience with data processing libraries, specifically Pandas, Polars, and NumPy.
  • Proficiency in SQL and NoSQL databases, such as MySQL, ElasticSearch, and ClickHouse.
  • Proficiency in utilizing AWS services, such as Athena and S3, to support research and data pipelines.
  • Familiarity with financial asset classes such as Equities, Derivatives, Fixed Income, and FX.
  • Strong organizational skills.
  • Excellent written and verbal communication skills to collaborate effectively with research teams.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines to process large-scale financial datasets, including market data and alternative data, using Python and cloud technologies.
  • Identify bottlenecks and optimize pipelines to improve the speed and efficiency of data loading and delivery.
  • Develop automated quality-control systems and anomaly-detection frameworks to ensure data accuracy for production trading and historical research.
  • Collaborate with quantitative researchers to identify, ingest, and normalize new external datasets into the firm's data ecosystem.
  • Create advanced analytics tools and dashboards for portfolio risk analysis and performance attribution.
  • Monitor pipeline performance and data quality reports to ensure timely data delivery.

About the Company

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Central and Western District, Hong Kong
Founded
2018

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