Balyasny Asset Management is looking for an exceptional data engineer would must have experience in a Data Engineering role already in either other funds/ banks to work with an Industrials portfolio team in London on projects related to infrastructure management, data analysis and data-driven idea generation. We are looking for someone with expertise in Data Engineering & Data Analytics who is interested in applying their skillset to a markets facing role. This is an excellent opportunity to take full ownership of a fundamental investment team’s data pipeline at a leading hedge fund, offering hands‑on experience to work at the intersection of data analysis and investing.
Key Responsibilities
- Collaborate with Analysts and Portfolio Manager to develop creative uses for data in the investment process
- Collect structured and unstructured data from various sources (e.g., websites, PDF documents, e‑mails, etc.), clean, transform and store this data in a format and in a storage location that ease the consumption of this data for analysis (e.g., Excel)
- Identify opportunities to improve existing infrastructure, such as optimizing data storage solutions or streamlining the data ingestion process to increase the volume, velocity, and variety of the ingested data
- Develop and expand team data infrastructure to capture new data streams and automate the end‑to‑end ETL/ELT process
- Support investment decisions through independent research on various new datasets, pinpointing trends, correlations, and patterns in complex datasets
- Effectively communicate technical details and insights to non‑technical team members
- Take complete ownership of data pipeline as a fully integrated member of the team
Must have
- Bachelor’s or master’s degree in computer science, Mathematics, Physics or quantitative field from top schools
- Prior training in a quantitative scientific field that uses computational data analysis (e.g., computer science, statistics, applied mathematics, physics, engineering, economics/econometrics, chemistry/biology)
- 1 to 5 years of experience in building and managing ETL/ELT data pipelines
- Proficient in Python3 with a strong focus on the most common data libraries (e.g., pandas, NumPy) and SQL
- Experience with Apache Airflow for workflow management
- Proficient with Microsoft Excel
- Knowledge of the Amazon AWS data ecosystem
- Expertise in setting up, maintaining and fine‑tuning SQL databases (e.g., PostgreSQL and Snowflake)
- Excellent communication skills, with the ability to explain technical concepts to non‑technical users
- Attention to detail and exceptionally motivated, hard‑working, and a self‑starter combined with the highest integrity and character
Nice to Have
- Experience with data visualization tools such as Tableau or Streamlit
- Experience with Docker and containerized architectures (e.g., Kubernetes, AWS ECS)
- Experience with real‑time data‑streaming e.g. Kafka
- Experience with GitHub and Jenkins
- Basic understanding of markets and financial statements
Only apply if your profile fits the listed requirements. Please understand that we have a large volume of applicants and cannot reply to each one. Thanks for your interest in Balyasny. If your profile is suitable, we will reach out.
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