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For Companies 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.
- 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.
- Other info: Collaborative culture with a focus on innovation and integrity.
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.
Contact Detail:
Balyasny Asset Management L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Industrials L/S Equities - London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving ETL processes or data analysis. This gives potential employers a taste of what you can do.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to them. Mention specific projects or values that resonate with you at Balyasny Asset Management. Personal touches can make a big difference!
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Engineer, Industrials L/S Equities - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience in data engineering and analytics, especially any work with ETL/ELT processes. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our Industrials portfolio team. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on projects that involved data pipelines or infrastructure management, make sure to showcase them. We’re interested in seeing how you’ve tackled challenges and what tools you used, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks!
How to prepare for a job interview at Balyasny Asset Management L.P.
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your experience with ETL/ELT processes, Python libraries like pandas and NumPy, and SQL. Be ready to discuss specific projects where you've optimised data pipelines or improved infrastructure.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about times when you identified opportunities for improvement in data storage or ingestion processes. This will demonstrate your analytical mindset and ability to contribute to the investment team.
✨Communicate Clearly and Effectively
Since you'll be working with non-technical team members, practice explaining technical concepts in simple terms. Use relatable examples to illustrate your points. This will show that you can bridge the gap between data engineering and investment analysis.
✨Research Balyasny Asset Management
Familiarise yourself with Balyasny’s approach to data-driven investing. Understand their portfolio strategies and how data plays a role in decision-making. This knowledge will help you tailor your responses and show genuine interest in the company and its goals.