Quantitative Data Architect

1 week ago

Sydney, New South Wales, Australia beBeeData Full time $180,000 - $200,000

Job Title: Quantitative Data Architect

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We are seeking an experienced data professional to join our team as a Quantitative Data Architect. In this role, you will play a critical part in enhancing our proprietary trading platform using cutting-edge technology and petabyte-scale data.

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About the Role:

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You will work directly with traders, quants, and other developers to build scalable data pipelines that feed into our trading strategies. This involves designing and implementing high-performance ETL workflows, integrating diverse data sources, and optimizing querying systems for real-time trading infrastructure.

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Your Responsibilities:

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  • Own and optimize large-scale data pipelines feeding into trading strategies
  • Design and implement high-performance ETL workflows integrating diverse data sources
  • Collaborate with quants and traders to translate research concepts into efficient, scalable data solutions
  • Develop tooling for real-time data validation, monitoring, and visualization
  • Enhance our proprietary data platform using modern open-source technologies
  • Solve complex data challenges such as low-latency processing, schema design for time-series data, and optimizing queries across massive datasets
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The Ideal Candidate:

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You are a Python-focused developer with front office experience, passionate about solving data problems at scale. You thrive in a fast-paced trading environment and want to work on systems where performance and accuracy directly impact P&L.

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Must-Have Qualifications:

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  • Strong Python skills (production-level) with expertise in data libraries like Pandas, NumPy, PySpark, or Dask
  • Experience with large-scale data systems (SQL/NoSQL databases, distributed processing, or cloud data platforms)
  • Proven ability to own data pipelines end-to-end from ingestion to analytics-ready outputs
  • Familiarity with modern data stack tools (e.g., Airflow, Kafka, Kubernetes, Iceberg/Databricks, or similar)
  • Understanding of financial markets/trading data (tick data, order books, reference data)
  • Strong collaboration skills able to work with quants, traders, and infra teams
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Benefits:

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  • Work on one of the most advanced trading platforms in the industry, handling billions in daily volume
  • Direct impact on trading strategies - your code and data solutions drive real-time decisions
  • Collaborate with top-tier engineers, quants, and traders in a meritocratic, tech-driven culture
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Why Join Us?

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Our company is committed to innovation and excellence in quantitative trading. We offer a dynamic and challenging environment where you can grow professionally and make a significant impact. If you're a data-savvy Python developer excited by the challenge of building systems at the forefront of quantitative trading, please apply.

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