Balyasny Asset Management L.P.

About the Company

Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. With over $26 billion in assets under management, BAM employs more than 2,000 people across 23 offices in the U.S. and Canada, Europe, the Middle East, and Asia. The firm's investment teams span five strategies, including Equities Long/Short, Fixed Income & Macro, Commodities, Multi-Asset Arbitrage, and Systematic. Balyasny's mission is to deliver to its investors absolute, uncorrelated returns in all market environments.

Listed Jobs

Company Name

Balyasny Asset Management L.P.

Job Title

Data Analyst - L/S Equity

Job Description

**Job title:** Data Analyst – Long/Short Equity (Industrials) **Role Summary:** Lead the design, implementation, and maintenance of AI‑driven analytics for industrial equity research. Drive data monetization, create investment signals, and collaborate with fundamental analysts to integrate structured and alternative data.   **Expectations:** - Act as the in‑house AI and analytics specialist for the Industrials long/short equity team. - Own the end‑to‑end data lifecycle and ensure high‑quality, scalable research outputs. - Translate analytical findings into actionable investment recommendations. **Key Responsibilities:** - Develop, validate, and deploy machine‑learning models, tools, and workflows that support investment decisions. - Partner with fundamental analysts to merge alternative and traditional datasets into research on industrial companies. - Identify and prototype new AI/ML applications to generate differentiated investment ideas and enhance portfolio performance. - Build and maintain automated research pipelines using Python, SQL, and core data‑science libraries. - Cleanse, profile, and document data to support reproducible research. - Communicate complex analytical results clearly to investment professionals in a business‑focused manner. - Keep the analytics practice current with emerging technologies, data sources, and AI techniques. **Required Skills:** - Proficient in Python (pandas, NumPy, scikit‑learn, TensorFlow/PyTorch). - Strong SQL query and ETL development skills. - Hands‑on experience building and deploying AI/ML models on real‑world datasets. - Solid problem‑solving ability and initiative in a fast‑paced environment. - Excellent written and verbal communication for non‑technical audiences. - Interest in industrials investment and willingness to deepen sector knowledge. **Required Education & Certifications:** - Bachelor’s or Master’s degree in STEM, data science, engineering, computer science, or related quantitative field. - Relevant certifications in data science, statistics, or machine‑learning (e.g., Microsoft Certified: Azure Data Scientist Associate, TensorFlow Developer Certificate) preferred but not mandatory.

Austin, United states

On site

11-03-2026