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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Balyasny or similar firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate how you can add value to their team.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python, SQL, and ETL processes. Be ready to discuss your past experiences and how you've tackled challenges in data management—this is your time to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Balyasny. Don’t miss out on this opportunity!
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 with ETL/ELT processes, Python, and SQL. We want to see how your skills match 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.
Showcase Relevant Projects:If you've worked on any projects that involved data analysis or infrastructure management, make sure to mention them. We love seeing real-world applications of your skills, 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. Good luck!
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, and be ready to discuss specific projects where you've built or managed data pipelines. This will show that you can take ownership of the data pipeline as expected.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, SQL, and any other relevant tools like Apache Airflow. You might be asked to solve a technical problem on the spot, so practice coding challenges beforehand. Highlight your experience with libraries like pandas and NumPy, as they are crucial for data analysis.
✨Communicate Clearly
Since you'll need to explain technical details to non-technical team members, practice articulating complex concepts in simple terms. Use examples from your past work to illustrate how you’ve successfully communicated insights to diverse audiences.
✨Research the Company and Role
Familiarise yourself with Balyasny Asset Management and their approach to data-driven investing. Understand their portfolio strategies and think about how your skills can contribute to their goals. This will not only help you answer questions but also show your genuine interest in the position.
