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- Tasks: Develop trading and data analysis tools for investment processes.
- Company: Join a dynamic team focused on optimizing trading systems.
- Benefits: Enjoy a fast-paced environment with opportunities for growth.
- Why this job: Make an impact by enhancing efficiency and maximizing returns in trading.
- Qualifications: 5+ years in software engineering with expertise in Python, C++, or Java.
- Other info: Ideal for those who thrive in demanding environments.
The predicted salary is between 43200 - 72000 £ per year.
Key Responsibilities: Develop scalable trading and data analysis tools that integrate into the investment process, working with large datasets to deliver solutions to trading desks. Drive technical initiatives to support critical business functions. Optimize trading systems for scalability and maintainability. Identify opportunities for improvement to enhance efficiency and maximize returns. Key Requirements: 5+ years of professional software engineering experience. Strong foundation in computer science. Expert-level proficiency in Python, C++, or Java. Proven experience in software design and development. Ability to manage multiple tasks in a fast-moving, demanding environment
Software Engineer - Commodities employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Commodities
✨Tip Number 1
Make sure to showcase your experience with large datasets and trading systems in your conversations. Highlight specific projects where you developed tools that improved efficiency or scalability.
✨Tip Number 2
Familiarize yourself with the latest trends in trading technology and data analysis. Being able to discuss current innovations can set you apart during interviews.
✨Tip Number 3
Prepare to demonstrate your coding skills in Python, C++, or Java through practical tests or coding challenges. Brush up on algorithms and data structures as they are often key topics.
✨Tip Number 4
Network with professionals in the commodities trading space. Attend relevant meetups or online forums to gain insights and potentially get referrals for the position.
We think you need these skills to ace Software Engineer - Commodities
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 5+ years of professional software engineering experience. Detail specific projects where you developed trading or data analysis tools, showcasing your ability to work with large datasets.
Showcase Technical Skills: Clearly list your proficiency in Python, C++, or Java. Provide examples of how you've used these languages in previous roles, particularly in optimizing trading systems or enhancing efficiency.
Demonstrate Problem-Solving Abilities: Include instances where you've identified opportunities for improvement in past projects. Explain how your solutions maximized returns and supported critical business functions.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing to demonstrate that you understand the role and its requirements, making it easier for recruiters to see your fit.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, C++, or Java in detail. Highlight specific projects where you developed scalable trading tools or worked with large datasets, as this aligns closely with the job requirements.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice coding challenges and be ready to explain your thought process while optimizing trading systems or enhancing efficiency in previous roles.
✨Discuss Your Experience with Scalability
Since the role emphasizes scalability, prepare examples of how you've optimized systems for performance and maintainability. Discuss any specific metrics or outcomes that demonstrate your impact on previous projects.
✨Prepare for Behavioral Questions
In addition to technical skills, be ready to answer behavioral questions that explore how you manage multiple tasks in a fast-paced environment. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
