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For Companies At a Glance
- Tasks: Join a dynamic team to design and build innovative trading applications.
- Company: A leading high-frequency trading firm at the forefront of technology.
- Benefits: Enjoy a full-time role with opportunities for collaboration and growth.
- Why this job: Perfect for those who thrive on challenges and want to make an impact in finance.
- Qualifications: Mid-senior level experience in Python development is required.
- Other info: Work closely with Quantitative Researchers on exciting projects.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
About Us:
We are one of the world’s 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 employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨Tip Number 1
Familiarise yourself with high-frequency trading concepts and the specific technologies used in this field. Understanding the nuances of trading infrastructure will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your collaborative skills by discussing past projects where teamwork was essential. Highlighting your ability to work closely with quantitative researchers will demonstrate that you're a good fit for their dynamic team.
✨Tip Number 3
Prepare to discuss your problem-solving approach, especially in high-pressure situations. Being able to articulate how you've tackled challenges in previous roles will set you apart as a candidate who thrives outside their comfort zone.
✨Tip Number 4
Network with professionals in the high-frequency trading space. Attend relevant meetups or online forums to connect with industry insiders, which could lead to valuable insights and potential referrals for the position.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific skills and experiences required for the Python Developer position. Highlight your experience with trading infrastructure applications and any relevant projects you've worked on.
Tailor Your CV: Customise your CV to reflect your experience in Python development, particularly in high-frequency trading or similar environments. Emphasise your collaborative nature and any teamwork experiences that align with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for finance and technology. Mention specific projects where you collaborated with teams, and express your enthusiasm for tackling challenges outside your comfort zone.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and professional, as attention to detail is crucial in this field.
How to prepare for a job interview at Radley James
✨Show Your Collaborative Spirit
Since the role involves close collaboration with Quantitative Researchers, it's essential to demonstrate your teamwork skills. Be prepared to discuss past experiences where you successfully worked in a team, highlighting your ability to communicate and collaborate effectively.
✨Demonstrate Technical Proficiency
As a Python Developer, you'll need to showcase your technical skills. Brush up on your Python knowledge and be ready to solve coding problems or discuss your previous projects. Consider preparing examples that illustrate your experience with trading infrastructure applications.
✨Embrace Challenges
This position is ideal for those who enjoy stepping outside their comfort zone. Be ready to talk about times when you've faced challenges in your work and how you overcame them. This will show your potential employer that you're adaptable and eager to take on new responsibilities.
✨Research the Company
Understanding the high-frequency trading industry and the specific firm you're interviewing with can set you apart. Familiarise yourself with their projects, values, and recent developments. This knowledge will help you ask insightful questions and demonstrate your genuine interest in the role.
