Quantitative Engineer FICCS Divisional Strats

1 week ago


Dallas, Texas, United States Goldman Sachs Full time
About This Role

We are seeking a highly skilled Quantitative Engineer to join our FICCS Divisional Strats team. As a key member of our team, you will be responsible for developing large-scale systems, building risk, capital, and optimization models, and creating data-driven prediction models.

Our team works closely with traders to build tools that enable them to price trades more precisely. You will have the opportunity to work on complex business problems and develop innovative solutions using your strong quantitative and technical skills.

Responsibilities
  • Develop large-scale systems and models to optimize risk, capital, and performance
  • Collaborate with traders to build tools for pricing trades and managing risk
  • Design and implement data-driven prediction models to inform business decisions
  • Work closely with cross-functional teams to integrate models and systems into our trading platform
Requirements
  • Bachelor's/MS or PhD in a quantitative field (Applied Mathematics, Physics, Engineering, Computer Science)
  • Meaningful experience coding in an object-oriented programming language (Java, C++, Python)
  • Excellent written and verbal communication skills
  • Ability to work in a dynamic and fast-paced environment and deliver accurate results quickly
  • Ability to solve complex problems and explain underlying ideas
About Goldman Sachs

At Goldman Sachs, we are committed to fostering a diverse and inclusive workplace where our employees can grow and thrive. We believe that our people are our greatest asset, and we are dedicated to providing opportunities for professional development and career advancement.

We are an equal employment/affirmative action employer and welcome applications from diverse candidates. If you require reasonable accommodations during the recruiting process, please let us know.



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