Balyasny Asset Management L.P. · 3 weeks ago
Lead Market Data Engineer - Systematic Data
New York, NY
Full-time
Onsite
Lead/Staff
10+ years expBalyasny Asset Management L.P. is seeking a Lead Market Data Engineer who will architect, build, and optimize platforms to deliver high-quality market data for quantitative research and systematic trading strategies. This hands-on leader will collaborate with various teams to ensure the integration of historical datasets and real-time feeds across global markets.
Responsibilities
Design, implement, and maintain scalable market data pipelines for both historical and real-time data across equities, futures, FX, and other asset classes
Lead the engineering efforts to support systematic research and low-latency trading, ensuring data quality, reliability, and minimal latency
Collaborate with quantitative researchers, portfolio managers, and technology teams to deliver data solutions that drive alpha and execution performance
Oversee the ingestion, normalization, and distribution of market data from global exchanges and vendors, addressing region-specific and asset-class-specific challenges
Evaluate and integrate new data sources, technologies, and protocols to maintain a competitive edge in data-driven trading
Establish and enforce best practices for data governance, compliance, and security in a regulated environment
Troubleshoot and resolve complex data issues impacting research or trading in real time
Contribute to the strategic direction of the firm’s data architecture and technology stack
Qualification
Required
10+ years of experience in market data engineering at a leading quantitative trading firm, hedge fund, or proprietary trading shop
Deep expertise in building and maintaining market data systems for both historical research and real-time trading
Strong programming skills in languages such as Python, C++, or Java, with experience in distributed systems and low-latency architectures
Demonstrated experience supporting systematic trading strategies and quantitative research workflows
In-depth knowledge of global market data protocols, exchange feeds, and vendor APIs
Analytical mindset with the ability to diagnose and resolve complex data and performance issues
Experience with cloud-native architectures, containerization, and modern DevOps practices
Excellent communication and stakeholder management skills
Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field
Preferred
Experience with ultra-low-latency data delivery and high-frequency trading environments
Familiarity with global market structure, regulatory requirements, and region-specific data challenges
Prior experience integrating alternative data sources and advanced analytics into trading workflows
Contributions to open-source market data projects or recognized thought leadership in the field
Advanced degree (MS/PhD) in a technical or quantitative discipline
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
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2026-01-11
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