Python Jobs

This role involves independently assessing and reporting on the firm’s internal control environment for technology processes. The Vice President will focus on risk analysis, control effectiveness, and monitoring audit findings while liaising with local and global management.

This role involves leading the development and implementation of advanced quantitative models and scalable cloud-native solutions to support portfolio and equity optimization strategies. The ideal candidate has over 10 years of experience in quantitative finance, strong programming skills, and expertise in portfolio management and direct indexing strategies. Collaboration with multiple teams and driving innovations in quantitative analytics are key aspects of this position.

Goldman Sachs is seeking a Quantitative Strategist to design and maintain high-performance options trading algorithms and apply machine learning techniques to large datasets. The role involves working closely with traders and sales to solve complex financial problems, using Python and KDB technologies. Ideal candidates have strong quantitative skills and at least five years of experience.

This role involves owning the production environment for Goldman Sachs' electronic trading platform, developing and supporting Python-based deployment systems, and providing critical day-to-day production support. The position requires close collaboration with trading desks and a global team across the Asia Pacific region. It demands proficiency in programming, UNIX environments, and production risk management.

This role involves owning and supporting the production environment of Goldman Sachs' electronic trading systems, providing critical day-to-day operational and technical assistance. The candidate will collaborate globally to manage system health, improve tooling, and support development efforts, focusing on Python and UNIX-based infrastructure for electronic trading.

The role involves joining the SMM trading desk in New York City, focusing on market making and systematic trading strategies in US Credit, specifically the Muni algo business. Candidates will use their mathematical and programming skills to improve systematic trading and manage desk risk while gaining hands-on experience.

The role is for an experienced quantitative developer to lead the development of next-generation portfolio management tools and analytics at Goldman Sachs' Multi-Asset Solutions Group. The candidate will design and ship production systems, translate investment and risk requirements into analytics, and collaborate with portfolio managers and teammates to deliver client-facing solutions.

This internship role offers an opportunity to gain hands-on experience in technology, data, and innovation at Deutsche Bank. Interns will work on real projects, learning coding skills in languages like Java and Python, and receive comprehensive training and networking opportunities. The program is designed for students completing their degrees between December 2026 and July 2027 and authorized to work in the United States.

As Lead Engineer, you will develop and lead solutions for Bare Metal as-a-Service and Virtual Machine as-a-Service within a global, interdisciplinary team. The role involves collaboration across architecture, product management, infrastructure, transformation, and DevOps teams to create seamless, automated, and integrated cloud management platforms leveraging industry standards. Your expertise in Python, automation, and virtualization technologies will be crucial to delivering efficient and user-friendly solutions.

The Quant Analyst, AVP role involves developing scalable front-office pricing and risk management systems for the bank. The candidate will collaborate globally, implement solutions in Python and C++, and contribute to risk analysis frameworks and regulatory remediation.