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- Tasks: Join a dynamic team to enhance a cutting-edge quantitative investment platform using Python.
- Company: Work with one of London's top hedge funds, known for its innovative approach in finance.
- Benefits: Enjoy competitive pay, career growth opportunities, and a vibrant, data-driven work environment.
- Why this job: Be part of a collaborative culture that values engineering excellence and real-time problem-solving.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field; 2+ years of Python experience required.
- Other info: Ideal for those passionate about quantitative finance and eager to make an impact.
The predicted salary is between 42000 - 84000 £ per year.
Referment have partnered with one of London's top performing Hedge Funds to find a Python Engineer to join their team. As part of the Investment Platform Operations team, this role is central to enhancing a world-class quantitative investment platform, working closely with Strategy Managers and Researchers, creating tools and frameworks to improve the efficiency of testing, implementing, and monitoring trading pipelines.
The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is beneficial, the primary focus is on Python programming.
Key Responsibilities- Lead and contribute to Python-based engineering projects that enhance the quantitative research and trading platform.
- Automate and optimize critical trading workflows using Python to ensure operational efficiency and stability.
- Work with Data Engineers and Strategy Managers to manage and optimize Python-based data products.
- Collaborate with the SRE team to ensure the stability of the platform and make necessary Python-driven infrastructure upgrades.
- Respond to real-time issues in trading pipelines, leveraging Python to ensure timely execution of trades.
- Partner with Traders and Investment Operations to develop Python-based solutions that meet client specifications.
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- 2+ years of Python development experience in a commercial setting.
- Strong interest in quantitative finance and Python-based financial data handling.
- Commitment to engineering excellence and practical Python solutions.
The firm offers excellent compensation, career growth opportunities, and a dynamic, data-driven environment for Python-focused professional development.
Python Engineer (Ref: 72c-4) employer: Referment
Contact Detail:
Referment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer (Ref: 72c-4)
✨Tip Number 1
Familiarise yourself with the specific Python libraries mentioned in the job description, such as Pandas. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Showcase any experience you have with event-driven architectures and data transformation tools like Kafka. Even if you haven't worked directly with them, understanding their principles and being able to discuss them will impress the hiring team.
✨Tip Number 3
Prepare to discuss your previous projects where you've automated or optimised workflows using Python. Be ready to explain the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Network with professionals in the quantitative finance space. Engaging with others in the industry can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Python Engineer (Ref: 72c-4)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development experience, especially in a commercial setting. Include specific projects where you've used Python libraries like Pandas and any relevant experience with event-driven architectures such as Kafka.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative finance and how your skills align with the role. Mention your commitment to engineering excellence and provide examples of how you've automated or optimised workflows in previous roles.
Showcase Relevant Skills: Clearly list your technical skills related to Python programming and any experience with financial data handling. If you have knowledge of tools like Amazon S3 or Kafka, be sure to mention that as well.
Prepare for Technical Questions: Anticipate technical questions related to Python and quantitative finance during the interview process. Brush up on your problem-solving skills and be ready to discuss how you've tackled real-time issues in trading pipelines.
How to prepare for a job interview at Referment
✨Showcase Your Python Skills
Make sure to highlight your experience with Python during the interview. Be prepared to discuss specific projects where you've used Python libraries like Pandas, and how you've applied them in real-world scenarios.
✨Understand the Financial Context
Since this role is within a hedge fund, having a solid understanding of quantitative finance will set you apart. Brush up on key concepts and be ready to explain how your Python skills can enhance trading strategies or data analysis.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle technical problems during the interview. You might be asked to solve coding challenges or discuss how you've resolved issues in trading pipelines using Python. Think through your approach and articulate your thought process clearly.
✨Collaborative Mindset
This role involves working closely with various teams, so emphasise your ability to collaborate. Share examples of how you've worked with Data Engineers or Strategy Managers in the past, and how you can contribute to a team-oriented environment.
