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Citigroup Credit Quantitative Analyst/Data Scientist in London, United Kingdom


  • As part of the Credit FinTech quant team, work closely with Traders, Sales and Technology professionals in Global Spread Products with a primary focus in the credit space to build analytics and processes that enhance the way we service clients

  • Create, implement, and support quantitative models for the credit trading business leveraging a combination of meticulous data analysis, traditional statistical reasoning, and advanced machine learning techniques

  • Diligently architect and manage the evolution of the code base, including collaborating with other teams to maximize scale and leverage across the organization


  • 5-7 years of experience in a comparable quantitative modeling or analytics role, ideally in the financial sector

  • Demonstrated experience applying statistical and/or machine learning techniques in the financial industry

  • Strong technical/programming skills: Python, SQL, kdb+/q desired. C++ and JavaScript are nice to have

  • Experience building visualization tools using Angular or React. Altair Panopticon knowledge is a plus

  • Extreme attention to details and genuine interest in gaining intimacy with the different trading datasets. Ability to manipulate and analyze complex, large scale, high dimensional data from varying sources

  • Clear and concise written and verbal communication skills. Ability to communicate complex problems to the relevant stakeholders


  • Master’s/PhD degree in a quantitative field

Job Family Group:

Institutional Trading

Job Family:

Quantitative Analysis

Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.