Market Data Engineer

Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital.

ROLE OVERVIEW

We are looking for an experienced Market Data Engineer to join our team. The ideal candidate will have a strong background in Python, cloud technologies, and extensive experience working with tick data and building robust tick data pipelines. The role involves designing, implementing, and maintaining our market data processing systems, ensuring high availability, performance, and scalability.

RESPONSIBILITIES

• Design and develop high-performance tick data pipelines to process and analyze large volumes of financial market data.
• Work with timeseries databases (e.g., KDB, OneTick) to store, query, and manage tick data efficiently.
• Utilize cloud technologies to optimize data processing and storage solutions.
• Collaborate with other engineers and trading teams to define data requirements and integrate market data into our products and services.
• Ensure data quality and integrity by implementing robust data validation and error handling mechanisms.
• Continuously improve data processing latency and throughput to meet the needs of high-frequency trading environments.
• Develop and maintain documentation for data pipelines and architectures.

QUALIFICATIONS

• Bachelor’s degree or above in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering with a focus on market data.
• Proficient in Python familiar with cloud platforms (AWS, GCP, Azure).
• Experience with Kubernetes and containerization.
• Demonstrated experience with tick data and building tick data pipelines.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Experience working with timeseries databases (e.g., KDB, OneTick) and C++ is a plus.
• Experience with financial markets and trading concepts is a plus.