Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build analytic systems and optimise trading models with data science teams.
- Company: Join a leading commodities trading firm focused on innovative analytics.
- Benefits: Enjoy a competitive salary, bonuses, and comprehensive health and retirement benefits.
- Why this job: Make a real impact by developing tools that enhance trading strategies in a dynamic environment.
- Qualifications: Experienced Python developer with AWS expertise; commodities front office experience preferred.
- Other info: No up-to-date CV required to apply!
The predicted salary is between 90000 - 210000 £ 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. This platform provides all aspects of the analytics that support the trading desk. 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 AWS 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 £150,000 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.
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Front Office Software Engineer - Python/Commodities – up to £150,000 Base Salary + Bonus
✨Tip Number 1
Familiarise yourself with the latest trends in commodities trading and data analytics. Understanding the current market dynamics and how data science is applied in trading can give you an edge during discussions with the team.
✨Tip Number 2
Network with professionals in the commodities and data science sectors. Attend relevant meetups or webinars to connect with industry insiders, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Brush up on your AWS skills, especially focusing on building applications and managing data. Being able to demonstrate your proficiency in cloud-native platforms will be crucial for this role.
✨Tip Number 4
Prepare to discuss your previous projects that involved Python and data analytics. Be ready to share specific examples of how you've optimised systems or contributed to data-driven decision-making in a financial context.
We think you need these skills to ace Senior Front Office Software Engineer - Python/Commodities – up to £150,000 Base Salary + Bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Python developer, particularly in building applications in AWS. Emphasise any relevant work in the front office of financial companies, especially within commodities.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for working with data science teams and your ability to optimise trading models. Mention specific tools or technologies you have used, such as Snowflake and Terraform, to demonstrate your technical expertise.
Showcase Your Analytical Skills: Provide examples of how you've used analytics and visualisation tools in previous roles. Highlight any projects where your contributions led to significant improvements in trading models or platforms.
Highlight Collaboration Experience: Since the role involves partnering with both Data Science and Trading teams, include examples of past collaborations. Discuss how you’ve successfully worked with cross-functional teams to achieve common goals.
How to prepare for a job interview at Saragossa
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've built applications, especially those that are data-driven. This is crucial as the role requires strong Python development skills.
✨Demonstrate Your Cloud Knowledge
Since the position involves building applications in AWS, make sure to brush up on your cloud knowledge. Be ready to explain how you've used AWS in previous roles and any relevant tools or services you've implemented.
✨Understand the Trading Environment
Familiarise yourself with the commodities trading landscape. Understanding the challenges and requirements of trading teams will help you articulate how your skills can directly benefit their operations.
✨Prepare for Technical Questions
Expect technical questions related to data analytics, visualisation tools, and possibly Snowflake and Terraform. Review these technologies and be ready to discuss how you've used them in past projects or how you would approach using them in this role.
