onsite
Associate, Quantitative Engineering - Goldman Sachs & Co.
Software Engineer
Associate role focused on building and implementing quantitative scenarios, analyzing large structured and unstructured data sets, and delivering financial models using Python, C++, SQL and machine‑learning techniques.
About the role
Key Responsibilities
- Design, develop, and document quantitative scenarios that incorporate a wide range of economic and financial variables.
- Collaborate with business stakeholders to gather requirements, translate user needs into technical specifications, and resolve data, model, and implementation challenges.
- Analyze large structured and unstructured data sets to extract insights, build predictive models, and support scenario testing.
- Implement robust, high‑performance code in Python and C++ to execute scenario simulations and integrate with existing systems.
- Maintain and enhance data pipelines and databases using SQL, ensuring data quality and accessibility for quantitative analyses.
Requirements
- Strong programming skills in Python and C++ with experience in data‑intensive applications.
- Proficiency in SQL and working with large, complex data sets.
- Solid understanding of statistical and machine‑learning techniques applied to financial modeling.
- Excellent analytical abilities and experience translating business problems into quantitative solutions.
- Effective communication and teamwork skills for collaborating with cross‑functional stakeholders.
Skills
pythoncsqlmachine learningdata analysis