Senior Data Scientist, Equities
Balyasny Asset Management
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How this pay compares to similar roles
This role pays more than 70% of similar roles. Most pay $126,800–$213,000 — the blue band above. At the midpoint, this role pays about $200k versus about $170k for comparable roles.
Based on 240 similar postings.
Employer
Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.
Balyasny Asset Management currently has 49 open roles on FindRole.
Listed pay typically runs $175,000–$250,000 across 33 roles with salary data.
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View all roles at Balyasny Asset ManagementAt a glance
The Senior Equities Data Engineer joins the Equities Alternative Data team to source, integrate, and deliver differentiated datasets for Equities Long/Short investment teams. This role involves designing and scaling data infrastructure, including vendor onboarding, ingestion, normalization, and historical backfills. The engineer will build scalable ETL/ELT workflows for structured, semi-structured, and unstructured sources while maintaining data-quality frameworks to monitor accuracy and timeliness. Key responsibilities include creating researcher-friendly access patterns like APIs and curated tables. Required technical skills include SQL, Python, and Rust/C++, alongside experience with Pandas, Polars, PySpark, Dask, Parquet, and Arrow. Candidates should also possess familiarity with distributed systems like Kafka and Redis, as well as analytical platforms such as Snowflake, Databricks, or Trino to solve complex investment data problems.
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