Morgan Stanley's Parametric division is seeking a Software Engineer to join their Equity Investments and Client Activities team. This role combines traditional software engineering with cutting-edge AI/ML development, focusing on building financial software that solves complex financial challenges. The position offers a hybrid working model with 3 days in the office.
The role involves working with portfolio managers and traders to implement generative AI solutions using Python, designing and maintaining GenAI applications, and managing cloud deployments on AWS. The ideal candidate will have 4+ years of software development experience, strong Python skills, and expertise in AI/ML technologies including PyTorch, Tensorflow, and LLM APIs.
As part of Morgan Stanley, one of the world's leading financial institutions, you'll work alongside top talent in an environment that values innovation and collaboration. The company has a strong presence in over 41 countries and serves a diverse client base including corporations, governments, institutions, and individuals.
The position offers excellent growth opportunities within the organization, comprehensive benefits, and the chance to work on cutting-edge technology in the financial sector. You'll be part of a team building solutions for customized direct index exposure and tax-sensitive asset selection to improve overall after-tax portfolio returns.
The role requires a unique combination of technical expertise in software development, AI/ML, and financial domain knowledge. You'll be working in a fast-paced environment where continuous learning and adaptation to new technologies is essential. The company's commitment to diversity, inclusion, and professional development makes it an ideal place for ambitious professionals looking to advance their careers in financial technology.