Chief Investment Data Strategist

1 week ago

Canberra, ACT, Australia beBeeData Full time $125,000 - $175,000
Job Description

As a Senior Investment Data Engineer, you will play a key role in driving technology and data uplift within our investment management firm. This is an opportunity to make a large impact on the business and how it operates from a technology standpoint.

The ideal candidate will combine quant analytics with engineering to develop well-structured data solutions that enable investment teams to access high-quality and well-structured data efficiently.

Responsibilities include leading the migration of data infrastructure from on Prem to Snowflake, architecting scalable, efficient data pipelines to process large investment data sets, and implementing AI/ML models to provide structured insights from unstructured data.

You'll work closely with portfolio managers and researchers to align data solutions with business needs and ensure seamless data accessibility and integration for decision-making.

This is a chance to bring modern cloud skills into the team, bridge technical knowledge gaps, and introduce new methodologies to uplift infrastructure and drive innovation.


Required Skills & Qualifications
  • Minimum 5 years Experience in data engineering with a focus designing and implementing data architectures
  • Strong Python & SQL skills, particularly for data pipeline automation and querying large datasets
  • MUST HAVE Experience in implementing Snowflake
  • MUST HAVE Experience implementing AI / ML models for quantitative analytics
  • MUST HAVE a degree in Data science, IT or Quantitative finance
  • Nice to have an interest in Quantitative finance or AI models for investment strategies
  • Expertise in Azure Cloud and Snowflake for data architecture and processing
  • Experience working with market data feeds and investment-related datasets
  • Experience with vendor data feeds such as Factset, Bloomberg, S&P
  • Strong working knowledge of Equities, Derivatives, Fixed Income or other asset classes
  • Familiarity with data orchestration tools such as Airflow or Dagster
  • Understanding of distributed computing frameworks (Spark or similar)

Benefits
  • Closely collaborate with portfolio managers and researchers
  • Develop and implement innovative data solutions
  • Drive technology and data uplift within the firm
  • Lead the migration of data infrastructure

Others

Must be an Australian Citizen or Permanent Resident

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