Quant Analyst/Data Scientist Quant Analyst/Data Scientist …

Anson McCade
in New York, NY
Permanent, Full time
Last application, 23 Jul 21
USD100000 - USD180000 per annum
Anson McCade
in New York, NY
Permanent, Full time
Last application, 23 Jul 21
USD100000 - USD180000 per annum
As part of this Credit Quant team, you will be working closely with Traders, Sales and Technology professionals in the team with a primary focus in the credit space to build analytics and processes that enhance the way we service clients The analysis this team does will change the next generation of credit trading for the client

Credit Quant/Data Scientist

NY based - VP level

Responsibilities:

  • As part of this Credit Quant team, you will be working closely with Traders, Sales and Technology professionals in the team 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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