At a Glance
- Tasks: Join a dynamic team to design and optimise trading algorithms using Python.
- Company: A leading Scientific Quant Fund focused on cutting-edge technology and innovation.
- Benefits: Enjoy hybrid working, competitive bonuses, and a strong focus on health and well-being.
- Other info: Collaborate with top-tier teams in the financial sector and embrace ongoing learning.
- Why this job: Work in an intellectually stimulating environment with rapid career progression and exposure to advanced technologies.
- Qualifications: Degree in Computer Science or STEM, plus 2+ years of relevant experience.
The predicted salary is between 56000 - 126000 £ per year.
My client is looking for an experienced Python Software Engineer to join their rapidly expanding development team, leveraging Python to streamline and automate critical processes. With a commitment to the highest tech standards in the industry, our client prides itself on maintaining cutting-edge technology and a progressive work environment. This position offers a unique opportunity to join a dynamic team of professionals in an intellectually stimulating environment.
Responsibilities:
- Design, implement, and optimize trading algorithms, order execution systems, and real-time data processing tools using Python to support front office trading strategies.
- Work closely with traders and quant teams to understand requirements, translate them into technical solutions, and enhance the trading platform’s functionality and performance.
- Focus on improving system performance, minimizing latency, and ensuring high availability of trading systems, with a strong emphasis on efficient Python coding practices.
- Develop tools for real-time monitoring, risk assessment, and analytics, ensuring the systems can handle large volumes of market data and provide timely insights to the trading desk.
Key Requirements:
- Degree in Computer Science or STEM based subjects.
- 2+ years of experience in a relevant role such as Python Software Engineer or Quant Developer.
- Proficiency in modern software development practices, including version control and agile development methodologies.
- Strong written and verbal communication skills, enabling effective collaboration and information sharing.
- Demonstrated enthusiasm for ongoing learning and a proactive attitude towards adopting new technologies.
- Ability to thrive in a fast-paced, adaptable, and high-pressure environment, delivering results efficiently.
Benefits:
- Exceptional professional growth opportunities in a tech-focused company, allowing you to enhance your skills as a Python Software Engineer at an accelerated pace.
- Access to state-of-the-art technologies, enabling you to work with advanced tools and frameworks.
- Highly competitive bonuses and a comprehensive benefits package that surpasses industry standards.
- Emphasis on health and well-being, including a healthy work-life balance and reimbursement programs.
- Rapid career progression and exposure to diverse technologies.
- Collaboration with top-tier infrastructure teams in the financial sector.
If you are a Python Software Engineer and this role could interest you, please apply to be considered or email rdelaney@hunterbond.com for more information.
Python Software Engineer - Hybrid working - £70,000 - £225,000 Base (+ Bonus) in Nottingham employer: Hunter Bond
Our company is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the financial services sector. With a focus on employee growth, we provide ample opportunities for professional development and career advancement, all while enjoying the vibrant atmosphere of London. The flexibility of good work-from-home options further enhances our commitment to work-life balance, making this a truly rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Python Software Engineer - Hybrid working - £70,000 - £225,000 Base (+ Bonus) in Nottingham
✨Tip Number 1
Familiarise yourself with the latest Python libraries and frameworks relevant to financial technology. Being well-versed in tools like Pandas, NumPy, and TensorFlow can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the finance and tech sectors. Attend meetups or webinars focused on quantitative finance or software engineering to make connections that could lead to referrals.
✨Tip Number 3
Showcase your problem-solving skills by working on personal projects or contributing to open-source projects related to trading algorithms or data processing. This hands-on experience can be a great conversation starter during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Websites like LeetCode or HackerRank can help you sharpen your skills and boost your confidence.
We think you need these skills to ace Python Software Engineer - Hybrid working - £70,000 - £225,000 Base (+ Bonus) in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in Python development, particularly any work with trading algorithms or real-time data processing. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter:Write a cover letter that showcases your enthusiasm for the role and the company. Mention your understanding of their commitment to high tech standards and how your background aligns with their needs.
Highlight Technical Skills:In your application, emphasise your proficiency in modern software development practices, version control, and agile methodologies. Be specific about the tools and technologies you have used in previous roles.
Showcase Communication Skills:Since strong communication is key for this role, include examples of how you've effectively collaborated with teams in the past. This could be through projects where you worked closely with traders or quant teams.
How to prepare for a job interview at Hunter Bond
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented trading algorithms or data processing tools, and be ready to explain your coding practices and how they align with efficient performance.
✨Understand the Financial Context
Familiarise yourself with basic trading concepts and the financial markets. This will help you communicate effectively with traders and quant teams during the interview, demonstrating that you can bridge the gap between technical and financial aspects.
✨Emphasise Collaboration
Since the role involves working closely with various teams, share examples of past collaborations. Discuss how you’ve successfully communicated technical solutions to non-technical stakeholders and contributed to team projects.
✨Demonstrate a Growth Mindset
Express your enthusiasm for learning new technologies and methodologies. Share instances where you've proactively adopted new tools or improved your skills, showing that you're adaptable and eager to grow within the company.
