At a Glance
- Tasks: Join a trading desk to develop low-latency algorithms and enhance trading strategies.
- Company: Oxford Knight, a leader in algorithmic trading innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with strong emphasis on collaboration and communication.
- Why this job: Make a real impact on trading performance with cutting-edge technology.
- Qualifications: 2+ years in quant trading; Python experience is a bonus.
The predicted salary is between 60000 - 80000 £ per year.
Oxford Knight is seeking a highly capable Quant Dev to join a fast-paced trading desk.
You will work closely with researchers and traders to push the boundaries of algorithmic trading, touching latency-critical engines, data platforms and analytics infrastructure.
The role emphasizes ownership from concept to delivery, strong systems knowledge, and clear communication in a dynamic environment. 2+ years in quant trading is highly desirable, with Python experience a plus.
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Low-Latency Quant Dev (C++) — Trading Desk Impact in England employer: Oxford Knight
As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Low-Latency Quant Dev (C++) — Trading Desk Impact in England
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We think you need these skills to ace Low-Latency Quant Dev (C++) — Trading Desk Impact in England
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oxford Knight. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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