At a Glance
- Tasks: Design and implement cutting-edge trading systems in a collaborative environment.
- Company: Join Winton, a leader in investment management with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team atmosphere with a commitment to equal opportunity.
- Why this job: Make an impact in the commodities market while working with top-tier professionals.
- Qualifications: Bachelor's degree in Computer Science and 5+ years of Python development experience.
The predicted salary is between 60000 - 80000 £ per year.
We seek an experienced and talented quantitative developer to join the Investment Management & Research group at Winton. The role sits within our Fundamental Commodities strategy and will work closely with the Senior Portfolio Manager. You will work within a collaborative quantitative research environment to design and implement trading systems and tools that support the firm’s trading and research capabilities.
Responsibilities
- Develop reliable and performant trading systems and strategies
- Design and optimise trading infrastructure to provide a seamless path from research to live trading
- Partner with the Portfolio Manager to develop frameworks for data validation and monitoring
What we’re looking for
- Bachelor’s degree in Computer Science, Engineering or a related field
- 5+ years of commercial development experience, with strong skills in Python.
- Hands‑on experience with building and deploying data pipelines
- Familiarity with modern infrastructure (CI/CD, Kafka, Airflow)
- Excellent communication and collaboration skills
- Detail orientated, with a commitment to best engineering practices
- The ability to prioritise, plan and deliver to projects in a timely manner
What would be useful
- Experience of developing trading systems for commodity derivatives in a systematic hedge fund
- Experience of working closely with researchers and portfolio managers
- Basic knowledge of statistical modelling in a financial context
- Experience with parallel & concurrent processing, e.g. Dask
- Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS)
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Quantitative Developer, Commodities in London employer: Winton Group
Winton is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Investment Management & Research group. As a Quantitative Developer in the vibrant city of London, you will have access to cutting-edge technology and resources, alongside ample opportunities for professional growth and development. The company values diversity and inclusion, ensuring a supportive environment where your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer, Commodities in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Winton or similar firms. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your hands-on experience with Python and trading systems.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of CI/CD, Kafka, and Airflow. Be ready to discuss how you've used these tools in past projects – it’ll show you’re the real deal!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Quantitative Developer, Commodities in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Python and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative development and how your background fits with our Fundamental Commodities strategy. Let us know what excites you about the role!
Showcase Collaboration Skills:Since this role involves working closely with the Senior Portfolio Manager, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Winton Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant technologies like CI/CD, Kafka, and Airflow. Be ready to discuss your past projects in detail, especially those involving data pipelines and trading systems.
✨Showcase Your Collaboration Skills
Since the role involves working closely with a Senior Portfolio Manager, highlight your experience in collaborative environments. Prepare examples of how you've successfully partnered with others to achieve project goals.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to tackle some technical questions or case studies during the interview. Think about how you would approach designing and optimising trading infrastructure, and be ready to explain your thought process.
✨Emphasise Attention to Detail
Given the importance of data validation and monitoring in this role, share specific instances where your attention to detail made a difference in your work. This could be anything from debugging code to ensuring the accuracy of data in trading systems.
