Quantitative Engineer

4 weeks ago


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

We are seeking a highly motivated and skilled PhD Quantitative Engineer to join our team in Dallas. As a Quantitative Engineer, you will play a critical role in developing and implementing cutting-edge risk management solutions using advanced mathematical and computational techniques.

Key Responsibilities
  • Design and develop innovative risk management solutions using machine learning, big data analytics, and other advanced techniques.
  • Collaborate with cross-functional teams to identify and prioritize risk management initiatives.
  • Develop and maintain complex software systems to support risk management processes.
  • Work closely with business stakeholders to understand their risk management needs and develop tailored solutions.
Requirements
  • PhD in a quantitative discipline such as mathematics, physics, or computer science.
  • Strong programming skills in languages such as C++, Python, or R.
  • Experience with machine learning, big data analytics, and other advanced risk management techniques.
  • Excellent communication and collaboration skills.
About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm. We are committed to fostering a diverse and inclusive workplace and offer a range of benefits and opportunities for professional growth and development.



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