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The health and safety of our colleagues and candidates for employment are our highest priority. Accordingly, Citi continues to monitor the COVID-19 situation closely. We have implemented precautionary measures across our firm globally, including conducting all candidate interviews virtually on a temporary basis until further notice where needed.

Credit Quantitative Analyst/Data Scientist

Job Req ID 21313963 Primary Location London, United Kingdom Job Category Institutional Trading
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Responsibilities:

  • 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


Qualifications:

  • 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


Education:

  • Master’s/PhD degree in a quantitative field

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Job Family Group:

Institutional Trading

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Job Family:

Quantitative Analysis

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Time Type:

Full time

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