Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a 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: Make a real impact by building new tools and models in a dynamic, data-driven environment.
- Qualifications: Strong Python development skills and experience with cloud applications (AWS or Azure) required.
- Other info: No financial background needed; fresh ideas are welcome!
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.
Saragossa | 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 Saragossa | 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
Network with professionals in the commodities trading and data science fields. Attend relevant meetups or webinars to connect with people who work in similar roles, as they might provide insights or even referrals.
✨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 difference in your past roles.
✨Tip Number 4
Show enthusiasm for the transition from MATLAB to Python and express your willingness to contribute ideas for new tools and models. This demonstrates your proactive attitude and alignment with the company's goals.
We think you need these skills to ace Saragossa | Software Engineer - Get into finance/commodities trading – up to £120,000 Base Salary + 30-40% Bonus
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Software Engineer position. Highlight your experience with Python, cloud applications, and any relevant data analytics tools in your application.
Tailor Your CV: Even though an up-to-date CV is not required, it’s still a good idea to tailor your CV to emphasize your experience in building applications in the cloud (AWS or Azure) and your familiarity with data-driven projects.
Showcase Relevant Experience: If you have experience in the front office of a financial company or with commodities trading, make sure to mention this prominently. Discuss specific projects where you optimized trading models or worked with complex datasets.
Express Your Ideas: In your application, don’t hesitate to express your ideas about improving platforms or tools. This shows initiative and aligns with the company's focus on innovation and collaboration between teams.
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 or commodities trading experience isn't required, having a basic understanding of how trading works can set you apart. Research the commodities market and be prepared to discuss how data analytics can optimize trading models.
✨Be Ready to Suggest New Tools
The company is looking for someone who can bring new ideas to the table. Think about analytics and visualization tools you’ve used in the past and be ready to discuss how they could improve the current platform.
