At a Glance
- Tasks: Join a dynamic team to develop and manage data pipelines for investment strategies.
- Company: Balyasny Asset Management, a leading hedge fund in London.
- Benefits: Gain hands-on experience in a fast-paced environment with growth opportunities.
- Other info: Collaborative culture with a focus on innovation and integrity.
- Why this job: Make a real impact by transforming data into actionable insights for investment decisions.
- Qualifications: Degree in a quantitative field and 1-5 years of data engineering experience required.
The predicted salary is between 36000 - 60000 £ per year.
Balyasny Asset Management is looking for an exceptional data engineer with experience in a Data Engineering role in either other funds or 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.
Data Engineer, Industrials L/S Equities - London employer: Balyasny Asset Management L.P.
Balyasny Asset Management L.P. is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Employees benefit from a culture that prioritises professional growth, with ample opportunities for development through mentorship and cross-functional projects. The firm’s commitment to understanding geopolitical dynamics ensures that team members are at the forefront of impactful investment strategies, making their work both meaningful and rewarding.
Contact Details:
Balyasny Asset Management L.P. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Industrials L/S Equities - London
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We think you need these skills to ace Data Engineer, Industrials L/S Equities - London
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