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:

• 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