onsite
Associate, Quantitative Engineering - Goldman Sachs
Software Engineer
Associate role focused on building and documenting economic and financial scenario models, leveraging Python, C++, and machine learning to analyze large structured and unstructured data sets for predictive insights.
About the role
Key Responsibilities
- Design, develop, and document scenario models that incorporate a wide range of economic and financial variables.
- Collaborate with business stakeholders to translate user requirements into robust quantitative solutions.
- Analyze large structured and unstructured data sets to create predictive models that support firm‑wide decision making.
- Implement and maintain codebases in Python and C++ ensuring performance, scalability, and reliability.
- Identify and resolve data, modeling, and implementation challenges throughout the model lifecycle.
Requirements
- Strong programming skills in Python and C++ with experience in high‑performance computing.
- Solid foundation in statistical modeling, machine learning techniques, and quantitative analysis.
- Proficiency in SQL and data manipulation of large, complex data sets.
- Excellent problem‑solving abilities and the capacity to communicate technical concepts to non‑technical stakeholders.
- Bachelor’s or higher degree in a quantitative discipline such as Computer Science, Mathematics, Engineering, or related field.
Skills
pythoncmachine learningdata analysissql