Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join the data science team to optimize trading models and build cloud-native analytics platforms.
- Company: A leading commodities trading firm focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, 30-40% bonus, and comprehensive health and retirement benefits.
- Why this job: Be part of a transformative project, see your impact, and collaborate with top trading teams.
- Qualifications: Experienced Python developer with cloud application skills; financial background is a plus.
- Other info: No up-to-date CV required; perfect for those wanting to bridge finance and data science.
The predicted salary is between 72000 - 168000 £ per year.
Do you want to work with the data science team and get exposure to various kinds of complex datasets?
At this commodities trading firm, you’ll work directly with trading teams to optimize trading models and build cloud-native platforms for all kinds of analytics.
You don't need any prior financial or commodities trading background.
This platform provides all aspects of the analytics that support the trading desk. You’ll be coming in as they’re completely rebuilding it, transferring from MATLAB to Python. That’s why you’ll partner with both the Data Science and Trading teams to understand the requirements and build them into production.
Your primary role is to build the analytic systems. Of course, as it’s extremely data-driven too, you’ll be encouraged to use analytics and visualisation tools when required, but also given your experience, you’ll be able to put forward new ideas and suggest new tools to use to help improve the platforms.
Specifically, in terms of your experience, you’ll be an experienced Python developer who can bring new ideas to the team. It’s almost essential that you have strong experience of building applications in the cloud (AWS or Azure) with a strong data focus.
Experience in the front office of a financial company, ideally within commodities will also be required, additional technical experience with Snowflake and Terraform would be a huge plus.
You’ll have lots of input into building all kinds of new tools and models and you’ll be able to see the impact of your work. Salary on offer is up to £120,000 plus a bonus which could be as much as 30-40% of your salary. Benefits include comprehensive medical, dental, retirement and life insurance and a range of other policies and programs to make sure you’re taken care of throughout your time in the company.
Want to stay in front office but get closer to data science and commodities? Get in touch.
No up-to-date CV required.
Software Engineer - Get into finance/commodities trading – up to £120,000 Base Salary 30-40% Bonus employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Get into finance/commodities trading – up to £120,000 Base Salary 30-40% Bonus
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, especially Python, AWS or Azure, and tools like Snowflake and Terraform. Having hands-on experience or projects showcasing these skills can set you apart.
✨Tip Number 2
Engage with the finance and commodities trading community online. Join forums, LinkedIn groups, or attend webinars to understand current trends and challenges in the industry. This knowledge can help you during discussions with the team.
✨Tip Number 3
Prepare to discuss your previous experiences where you've optimized systems or built applications in a cloud environment. Be ready to share specific examples of how your contributions made a measurable impact.
✨Tip Number 4
Show enthusiasm for the transition from MATLAB to Python. Research best practices in this area and be prepared to suggest innovative ideas or tools that could enhance the analytics platform during your conversations.
We think you need these skills to ace Software Engineer - Get into finance/commodities trading – up to £120,000 Base Salary 30-40% Bonus
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience as a Python developer and any work you've done in cloud environments like AWS or Azure. Mention specific projects where you built applications with a strong data focus.
Showcase Your Analytical Skills: Since the role involves building analytic systems, include examples of how you've used analytics and visualization tools in past projects. This will demonstrate your ability to contribute to the data-driven environment.
Express Your Interest in Trading and Data Science: Even if you don't have a background in finance or commodities trading, express your enthusiasm for the field. Mention any relevant coursework, personal projects, or self-study that shows your commitment to learning about trading and data science.
Tailor Your Application: Customize your application to reflect the specific requirements mentioned in the job description. Use keywords from the listing, such as 'cloud-native platforms', 'analytics', and 'data-driven', to ensure your application stands out.
How to prepare for a job interview at Saragossa
✨Showcase Your Python Skills
Since the role requires strong experience in Python, be prepared to discuss your previous projects and how you've utilized Python in building applications. Highlight any specific libraries or frameworks you've used that are relevant to data analytics.
✨Demonstrate Cloud Experience
Make sure to emphasize your experience with cloud platforms like AWS or Azure. Be ready to explain how you've implemented solutions in the cloud and any challenges you faced during the process.
✨Understand the Trading Environment
Even though prior financial experience isn't necessary, having a basic understanding of commodities trading and the trading desk's operations can set you apart. Research the industry and be prepared to discuss how data science can optimize trading models.
✨Be Ready to Suggest New Tools
The company values innovation, so come prepared with ideas for new tools or methodologies that could enhance their analytics platform. This shows initiative and a proactive approach to problem-solving.
