At a Glance
- Tasks: Design and implement trading systems for commodities trading in a collaborative environment.
- Company: Winton Capital, a leading firm in investment management and research.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a fast-paced industry.
- Why this job: Join a dynamic team and make an impact in the world of trading and research.
- Qualifications: Experience in quantitative development and strong problem-solving skills.
The predicted salary is between 63000 - 77000 £ per year.
Winton Capital US LLC seeks an experienced quantitative developer to join the Investment Management & Research group.
You will design and implement trading systems and tools that support the firm’s trading and research capabilities within a collaborative quantitative research environment.
Responsibilities include developing reliable trading systems, designing infrastructure for research-to-live trading, and partnering with the Portfolio Manager to build data validation and monitoring frameworks.
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Quantitative Developer: Commodities Trading in London employer: Winton Capital US LLC
Winton Capital US LLC is an exceptional employer that fosters a collaborative and innovative work culture, where data analysts play a crucial role in ensuring the integrity and accessibility of critical datasets. Located in a dynamic environment, employees benefit from continuous professional development opportunities and a commitment to excellence, making it an ideal place for those seeking meaningful and rewarding careers in data analysis.
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We think this is how you could land Quantitative Developer: Commodities Trading in London
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We think you need these skills to ace Quantitative Developer: Commodities Trading in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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