At a Glance
- Tasks: Own algorithmic trading initiatives and enhance the Cash Equities platform.
- Company: Join UBS, a leading global financial services firm in London.
- Benefits: Competitive salary, dynamic team environment, and opportunities for growth.
- Other info: Collaborate with diverse perspectives in a fast-paced environment.
- Why this job: Make an impact in low-latency trading with cutting-edge technology.
- Qualifications: Strong Java skills and expertise in electronic trading required.
The predicted salary is between 60000 - 80000 Β£ per year.
UBS is seeking an experienced Cash Equities CRB Quantitative Developer to join their Global Markets team in London. The role involves ownership of initiatives in algorithmic trading, focusing on enhancing the Cash Equities platform.
Strong Java skills, low-latency expertise, and knowledge of electronic trading are essential. You will collaborate closely with quantitative traders to implement effective trading models and ensure optimal platform performance.
Join a dynamic and empowered team at UBS, where diverse perspectives are valued.
Cash Equities CRB Quant Developer β Low-Latency Trading in London employer: UBS
UBS is an exceptional employer that fosters a dynamic and inclusive work culture, where diverse perspectives are not only welcomed but celebrated. As a Cash Equities CRB Quant Developer in London, you will have access to cutting-edge technology and the opportunity to collaborate with top-tier quantitative traders, ensuring your professional growth in a fast-paced environment. With a strong emphasis on employee development and innovation, UBS offers a rewarding career path for those looking to make a significant impact in the world of algorithmic trading.
StudySmarter Expert Adviceπ€«
We think this is how you could land Cash Equities CRB Quant Developer β Low-Latency Trading in London
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We think you need these skills to ace Cash Equities CRB Quant Developer β Low-Latency Trading in London
Some tips for your application π«‘
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. Donβt 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 UBS. 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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β¨Brush Up on Your Statistics
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