Goldman Sachs in London seeks a software development/quant role focusing on risk models and large-scale infrastructures. You will build and maintain models, perform risk trend analyses, and contribute to scalable systems across Core Engineering.
Candidates should have 3+ years in software development, strong math/statistics background, and experience with C/C++, Java or Python. Excellent communication and global collaboration are expected.
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Liquidity Quant Engineer: Risk & Analytics Lead employer: WeAreTechWomen
Goldman Sachs is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration among over 2,000 engineers. With a strong commitment to diversity and inclusion, employees benefit from extensive training and development opportunities, competitive wellness programs, and a culture that values personal and professional growth. The role of Software Engineer - Vice President not only provides the chance to lead transformative projects but also to work closely with traders and senior leadership, making a significant impact on the firm's strategic goals.
