At a Glance
- Tasks: Design and implement cutting-edge trading systems in a collaborative environment.
- Company: Winton, a leading research-based investment management firm.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Equal opportunity workplace committed to diversity and inclusion.
- Why this job: Join a dynamic team at the forefront of quantitative investment strategies.
- Qualifications: Bachelor's degree in Computer Science or related field; 5+ years of Python development experience.
The predicted salary is between 60000 - 80000 £ per year.
About Winton
Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.
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)
Equal Opportunity Workplace
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
Winton is an exceptional employer that fosters a collaborative and innovative work culture, ideal for ambitious professionals eager to excel in the investment management sector. Located at the forefront of quantitative research, employees benefit from a dynamic environment that encourages personal and professional growth, alongside access to cutting-edge technology and resources. With a commitment to equal opportunity and a focus on developing reliable trading systems, Winton offers a rewarding career path for those passionate about financial markets.
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, attend meetups, and connect with current Winton employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨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 expertise in Python and trading systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of trading systems. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨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, it shows you’re genuinely interested in joining the Winton team.
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 reflects the skills and experiences that match the job description. Highlight your Python expertise and any relevant experience in developing trading systems, as this will catch our eye!
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 aligns with our Fundamental Commodities strategy. Keep it concise but impactful.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving data pipelines or trading systems, make sure to mention them. We love seeing practical examples of your work and how you’ve tackled challenges in the past.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Winton
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and modern infrastructure tools like CI/CD, Kafka, and Airflow. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Collaboration Skills
Since the role involves working closely with a Senior Portfolio Manager, be prepared to share examples of how you've successfully collaborated in previous roles. Highlight any experiences where you partnered with researchers or other developers to achieve a common goal.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle some technical questions or case studies during the interview. Think about challenges you've faced in developing trading systems or data pipelines and how you overcame them. This will show your analytical thinking and problem-solving skills.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about Winton’s Fundamental Commodities strategy or their approach to quantitative research. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
