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- Tasks: Join a team to build systems for commodity trading and data analysis.
- Company: A leading firm in financial data management and analytics.
- Benefits: Enjoy flexible work options, competitive salary, and professional development opportunities.
- Why this job: Be part of a dynamic culture that values innovation and collaboration in the finance sector.
- Qualifications: 5+ years in Python or similar, with skills in data processing and cloud platforms.
- Other info: Ideal for analytical minds interested in financial markets and advanced data tools.
The predicted salary is between 43200 - 72000 £ per year.
Join a team focused on enabling commodity trading through robust engineering and advanced data tooling. You’ll work closely with domain experts to build systems that process alternative data and support modelling, decision-making, and performance analysis.
Collaborate with cloud platform specialists to create scalable systems for financial data management, performance tracking, and risk oversight. Partner with researchers and data teams to construct tools that extract, validate, and prepare external data feeds used in commodities research.
Use statistical and machine learning methods to support analysis in markets such as agriculture, metals, and energy.
- A software developer with 5+ years working in Python or another object-oriented environment.
- Strong familiarity with tools and libraries for data processing and visualization.
- Comfortable deploying applications in cloud ecosystems, particularly AWS, and using infrastructure automation tools.
- Experienced with building data workflows and managing databases; Airflow and SQL are especially valued.
- A pragmatic engineer who follows clean development practices—version control, testing, packaging, etc.
- Analytical and curious, with a background or interest in financial or commodity markets.
- Comfortable working independently while contributing to a collaborative, high-performance culture.
Developer - Senior employer: Charles Levick Limited
Contact Detail:
Charles Levick Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Developer - Senior
✨Tip Number 1
Familiarise yourself with the latest trends in commodity trading and financial markets. Understanding the nuances of these areas will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Showcase your experience with Python and relevant libraries by working on personal projects or contributing to open-source initiatives. This hands-on experience can be a great conversation starter and highlight your technical skills.
✨Tip Number 3
Network with professionals in the field, especially those who work in commodity trading or data engineering. Attend industry meetups or webinars to make connections that could lead to referrals or insider information about the job.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems related to data workflows and cloud applications. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Developer - Senior
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any object-oriented programming languages. Emphasise your familiarity with data processing tools and libraries, as well as your experience in cloud environments like AWS.
Craft a Strong Cover Letter: In your cover letter, express your passion for commodity trading and how your skills align with the role. Mention specific projects where you've used statistical or machine learning methods, and how they relate to financial data management.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies you used, and the impact of your work, especially in building data workflows or managing databases.
Highlight Collaboration Skills: Since the role involves working closely with domain experts and data teams, make sure to highlight your collaborative experiences. Provide examples of how you've successfully partnered with others to achieve project goals.
How to prepare for a job interview at Charles Levick Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and other object-oriented languages. Highlight specific projects where you've used data processing and visualisation tools, as well as your familiarity with cloud platforms like AWS.
✨Demonstrate Your Analytical Mindset
Since the role involves working with financial data and commodity markets, be ready to share examples of how you've applied statistical or machine learning methods in past projects. This will show your analytical capabilities and curiosity about the field.
✨Emphasise Collaboration Experience
The position requires working closely with domain experts and data teams. Share instances where you've successfully collaborated on projects, particularly in high-performance environments, to illustrate your teamwork skills.
✨Discuss Clean Development Practices
Talk about your approach to clean development practices, including version control, testing, and packaging. Providing examples of how you’ve implemented these practices in previous roles will demonstrate your commitment to quality engineering.
