Longaeva Partners is looking to build a world-class risk function through an approach rooted in ingesting multiple data sources, supporting the creation of tools to analyze, and disseminate information to their large team of investors.
Requirements
- Expert knowledge of Python is required
- Proficiency with SQL
- 3+ years deep software engineering experience, building production data pipelines and warehousing solutions
- Experience building scalable data pipelines using Snowflake, Spark, dbt, Iceberg, and AWS
- Experience building APIs and highly scalable data platforms
- Experience building visualizations and interactive dashboards is preferred
- Familiarity with or a deep interest in an investment firm’s risk function
Responsibilities
- build processes that support our Quantitative Research/Risk team
- design end-to-end solutions from the building of data pipelines, to the ingestion and analysis of data, to the packaging and dissemination of information directly to our investment team via e-mail, dashboard visualizations, and external platform providers
- help build and maintain systems that help decision-making, knowledge capture, and the maximization of alpha capture
- build next-gen greenfield data platform for our hedge fund
- manage data pipelines, web scrapes, data warehouse, and data models across organization
- build scalable data pipelines using Snowflake, Spark, dbt, Iceberg, and AWS
- build APIs and highly scalable data platforms
Other
- Ability to communicate technical concepts to diverse audiences
- Open-minded, deep thinker who is passionate about building systems at scale
- Highly dedicated individual
- Familiarity with or a deep interest in an investment firm’s risk function
- Collaborate closely with both our Head of Technology and our Head of Quantitative Research/Risk
