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- Tasks: Join a dynamic team to build trading and data infrastructure for a hedge fund.
- Company: Paragon collaborates with a leading EU Gas portfolio manager in a $25BN hedge fund.
- Benefits: Enjoy hybrid work options and the chance to shape innovative trading processes.
- Why this job: Be part of a unique build-out that enhances trading efficiency and impacts the commodities market.
- Qualifications: 3-6 years of relevant experience, strong Python skills, and exposure to Airflow required.
- Other info: Work closely with a data scientist and engage with diverse data sources.
The predicted salary is between 48000 - 72000 £ per year.
Paragon are working exclusively with an incoming EU Gas portfolio manager, who will be building the gas business within a $25BN AUM multi strategy hedge fund. He is looking for a hybrid Data/Software Engineer to work on his desk. This person will work with one other data scientist and build the trading/data infrastructure from the ground up which will augment the trading process.
Focus will be on ingesting data from internal and external sources (e.g., exchanges, weather APIs, logistics systems, market feeds like ICE, CME, Reuters, Bloomberg).
Looking for 3-6 years experience in a relevant role and ideally some exposure to commodities data sets. Strong Python and exposure to Airflow is a must.
Tech Stack: Python, AWS, Airflow, SQL, ML, ETL
Please apply if you want to be a part of this unique build out.
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software/Data Engineer - Commodities Desk (London Area)
✨Tip Number 1
Familiarise yourself with the specific data sources mentioned in the job description, such as ICE, CME, and Bloomberg. Understanding how to access and manipulate data from these platforms will give you a significant edge during discussions.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data ingestion and ETL processes. Being able to demonstrate your proficiency in Python during interviews will be crucial, so consider working on relevant projects or contributing to open-source initiatives.
✨Tip Number 3
Gain hands-on experience with AWS and Airflow, as these are key components of the tech stack. You could set up a small project that utilises these technologies to showcase your ability to build and manage data pipelines effectively.
✨Tip Number 4
Network with professionals in the commodities trading space. Attend industry meetups or webinars to connect with others who work in similar roles. This can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Software/Data Engineer - Commodities Desk (London Area)
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Software/Data Engineer position. Familiarise yourself with the specific requirements, such as experience with Python, Airflow, and commodities data sets.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering and software development. Emphasise your skills in Python, AWS, SQL, and any exposure to ETL processes or machine learning that aligns with the job.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the commodities sector. Mention specific projects or experiences that demonstrate your ability to build trading/data infrastructure and work with diverse data sources.
Highlight Relevant Projects: If you have worked on projects involving data ingestion from various sources or have experience with market feeds like ICE or Bloomberg, make sure to include these in your application. This will show your practical knowledge and suitability for the role.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, AWS, and Airflow during the interview. Be prepared to discuss specific projects where you've used these technologies, especially in relation to data ingestion and processing.
✨Understand the Commodities Market
Familiarise yourself with the commodities market, particularly gas trading. Being able to discuss relevant data sets and how they impact trading decisions will demonstrate your interest and understanding of the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or scenarios related to data engineering and be ready to explain your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and future projects. This shows your enthusiasm for the role and helps you gauge if the company aligns with your career goals.
