Balyasny Asset Management L.P. · 2 weeks ago
Senior Data Engineer – Investment Data Platform
New York, NY
Full-time
Onsite
Senior Level
5+ years expBalyasny Asset Management L.P. is a New York based hedge fund focusing on long duration investing across public equities and private deals. They are seeking a Senior Data Engineer to design and build foundational data models and pipelines that support research, risk, and portfolio management. The role involves ownership of critical production systems and collaboration with various teams to enhance the investment data ecosystem.
Financial Services
Responsibilities
Own core investment data domains , design and evolve data models for:
Security master and instrument taxonomy across asset classes
Reference data (identifiers, classifications, calendars, corporate actions)
Transactions, positions, exposures, and holdings across portfolios and strategies
P&L and returns (intraday and end-of-day, attribution-ready)
Market data and benchmarks required for risk and performance
Define and enforce data modeling standards (naming, normalization, SCD strategy, partitioning, performance)
Build and operate production data pipelines
Design, implement, and maintain scalable batch data pipelines to ingest, cleanse, normalize, and reconcile data from many internal and external data sources
Implement robust data quality, lineage, and reconciliation processes for transactions, positions and P&L
Continuously improve data by adding new sources, coding business rules, and producing new metrics that support investment, trading, and risk decisions
Build reusable data services and APIs that expose curated investment datasets to downstream consumers (portfolio managers, risk, quantitative research, dashboards, and external platform providers)
Partner with our Quantitative Research/Risk team to package and disseminate data and analytics to the investment team via e-mail, dashboards, and integrated tools
Qualification
Required
5+ years of deep software & data engineering experience, data modeling, and data architecture ideally on the buy side (hedge fund, asset manager, or multi-strategy platform)
Expert deep knowledge of Python and SQL
Proven experience building production-grade data pipelines and warehousing solutions
Strong understanding and hands-on experience with core investment data domains: security master and reference data (identifiers, classifications, corporate actions), transactions, positions, holdings, and exposures, P&L and performance (including reconciliation concepts), market data and pricing
Experience building scalable data pipelines and data platforms using Snowflake, Spark, dbt, Airflow, Dagster, and AWS (or equivalent cloud stack)
Strong understanding of normalized and dimensional data modeling, partitioning/clustering, auditing, and performance tuning
Demonstrated data quality mindset. Experience designing and implementing validation checks, reconciliation logic, and monitoring for positions and P&L
Ability to communicate technical concepts clearly to diverse audiences (investors, risk, trading, data science, technology) and to document systems and data contracts
Preferred
Experience with alternative data (modeling and integrating it alongside traditional data) is a strong plus
Company
Balyasny Asset Management L.P.
Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley.
1001-5000 employees
H1B Sponsorship
Balyasny Asset Management L.P. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (107)
2024 (85)
2023 (39)
2022 (44)
2021 (28)
2020 (18)
Funding
Current Stage
Late StageLeadership Team
David Black
Managing Director Business Development
J
Jeremy Brunelli
Data Science & AI | Managing Director, Head of Geospatial & Alt Data Research
Recent News
2026-01-11
2026-01-09
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