About The Position

Within Goldman Sachs Asset Management, quantitative engineers work in close collaboration with all parts of the business across asset classes, building products for portfolio, fund, deal, and budgeting analytics and models. We are interested in individuals who have strong coding skills and a continued interest in learning about finance. As a member of our team, you will use your training in programming, mathematics, and logical thinking to construct applications that drive our success. Your talents for analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment. Job Overview This Quantitative Strategist role is responsible for the design, and implementation of quantitative models and applications that support fund portfolio management, valuation, and risk management for the AWM private investing businesses. The person will work closely with fund managers, valuation experts, risk managers, and other finance professionals to identify areas where quantitative analysis can provide insights and support decision-making, then implement models and applications to meet the desired business needs.

Requirements

  • Outstanding background in a quantitative discipline, with excellent analytical, quantitative, and problem-solving skills, and demonstrated abilities in research and data visualization
  • Proficiency in one or more programming languages and frameworks (e.g., Python, Java, Kotlin, C, JavaScript, React).
  • Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts
  • Creativity and problem-solving skills
  • Ability to work independently and in a team environment
  • 3-4 years of applicable experience

Responsibilities

  • design, and implementation of quantitative models and applications that support fund portfolio management, valuation, and risk management
  • identify areas where quantitative analysis can provide insights and support decision-making
  • implement models and applications to meet the desired business needs
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