Role OverviewThe Equities Alternative Data team is responsible for sourcing, integrating, curating, and delivering differentiated alternative datasets that support BAM’s Equities Long/Short investment teams. The team builds and operates the data products, platforms, and workflows that enable portfolio managers, analysts, and quantitative researchers to efficiently discover, evaluate, back-test, and consume high-quality alternative data signals.
What You Will Do
Design, build, and grow the data platform and pipelines that support alternative-data research and production use cases for Equities L/S teams, including dataset onboarding, ETL/ELT workflows, data-quality framework, and researcher-friendly data access and consumption patterns.
Why It Might Be a Fit
The ideal candidate will have 5+ years of experience in a data-intensive engineering role, with demonstrable expertise in SQL and databases, particularly time-series, analytical, and large-scale data stores, and strong programming skills in Python and/or Rust/C++.
Requirements
- 5+ years of experience in a data-intensive engineering role
- Demonstrable expertise in SQL and databases
- Strong programming skills in Python and/or Rust/C++
- Experience architecting and building scalable ETL/ELT pipelines
- Experience with column-oriented storage and serialization formats
- Strong debugging skills across the application and data stack
- Experience with code optimization and performance tuning for large-scale data processing workloads
- Familiarity with distributed-system data components
- Proven ability to work directly with technical and non-technical stakeholders
]]>