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
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 competitive compensation and a commitment to diversity and inclusion. With opportunities to work closely with experienced portfolio managers and cutting-edge technology, 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 Winton employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading systems or data pipelines. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and any relevant tools like CI/CD or Docker. Practise coding challenges 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 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 knowledge of data pipelines 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, it’s crucial to demonstrate your communication and collaboration skills. Prepare examples of how you’ve successfully partnered with others in previous roles, particularly in a quantitative research environment.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of trading systems and statistical modelling. Be ready to explain your thought process when designing and optimising trading infrastructure, and consider discussing any relevant experience with commodity derivatives.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the team dynamics, the company’s approach to quantitative strategies, or the specific challenges they face in the commodities market. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
