At a Glance
- Tasks: Build cutting-edge Python applications for trading and data analysis in a fast-paced environment.
- Company: Leading commodities trading house with a focus on innovation and technology.
- Benefits: Competitive salary, performance bonuses, flexible work, and professional development opportunities.
- Why this job: Make a real impact on trading decisions and drive technological advancements.
- Qualifications: 5+ years in Python development with experience in scalable systems and data pipelines.
- Other info: Join a dynamic team and enjoy excellent career growth in a collaborative culture.
The predicted salary is between 36000 - 60000 Β£ per year.
About Us: We are one of the worldβs leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements.
Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets.
Key Responsibilities:
- Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis.
- Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data.
- Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers.
- Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring.
- Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management.
- Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence.
- Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools.
Qualifications:
- 5+ years of professional experience in Python development, with a focus on building performant, scalable systems.
- Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization.
- Experience with distributed systems, parallel computing, and high-performance processing of large datasets.
- Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases.
- Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments.
- Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar).
- Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes.
- Experience in managing and deploying services in Linux/Unix environments.
- Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure.
- Fluency in English is required.
Preferred Skills:
- Experience in commodities markets or broader financial markets.
- Knowledge of quantitative modeling, risk management, or algorithmic trading.
- Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar.
Why Work With Us?
- Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions.
- Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement.
- Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package.
- Professional Development: Access to world-class learning and development resources, with opportunities for career growth.
- Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.
Python Developer in Slough employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Python Developer in Slough
β¨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in trading or tech. You never know where a casual chat might lead!
β¨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to data analysis or trading systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding algorithms relevant to trading. Practice coding challenges on platforms like LeetCode or HackerRank to get into the zone.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Python Developer in Slough
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the role of Senior Python Engineer. Highlight your experience with Python, data pipelines, and any relevant projects that showcase your skills in trading or financial services.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our innovative culture. Donβt forget to mention specific technologies youβve worked with that relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical examples of your work, especially those that demonstrate your ability to build scalable systems and APIs.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it shows youβre keen on joining our team!
How to prepare for a job interview at Radley James
β¨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around data manipulation and performance optimisation. Be ready to discuss your past projects and how you've tackled challenges using Python, as this will show your depth of knowledge.
β¨Understand the Trading Environment
Familiarise yourself with commodities trading and the financial markets. Knowing how your role as a Python Developer fits into the bigger picture will help you answer questions more effectively and demonstrate your genuine interest in the industry.
β¨Prepare for Technical Questions
Expect to face technical questions that test your understanding of distributed systems, APIs, and data pipelines. Practise coding problems and be ready to explain your thought process, as this will showcase your problem-solving skills.
β¨Showcase Your Collaborative Spirit
Since you'll be working closely with quants and traders, highlight your experience in collaborative environments. Share examples of how you've worked in teams to develop solutions, as this will illustrate your ability to thrive in a dynamic setting.