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Citi in London is seeking a Quant Developer at VP level to join the Markets Quantitative Analysis Rates team. You will apply programming skills to build analytics and MI data for senior management.
The role requires strong Python and C++ expertise, numeracy and the ability to deliver time-sensitive reporting across Quants, IT and trading desks.
Masters or PhD in maths, physics, engineering or similar is preferred; experience with rates products is desirable; hybrid work arrangement in London.
London, England, United Kingdom
Hybrid
Full time
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in programming, C++ and problem solving to Citi’s Markets Quantitative Analysis Rates team.
By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
This Quant Developer role focuses on using existing information from multiple datasets. Through the application of coding, coupled with a strong business acumen you will be responsible for the preparation of information that will be used by senior management to help them better understand how the markets business would likely react under various scenarios, through the provision of MI data. This role will appeal to individuals who have computer programming skills, are highly numerate with a quantitative mindset and are able to work quickly to be able to provide time sensitive reporting to senior stakeholders. You will need to support and collaborate across various business lines including Quants, IT, and project management teams, as well as trading and structuring desks to be effective.
Institutional Trading
Quantitative Analysis
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