Careers | PIMCO

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients’ capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world’s largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.

Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.

We are seeking a Generative AI expert with proven experience in Large Language Models to join our centralized research team in driving key strategic initiatives for the Executive Office spanning Portfolio Management, Sales, HR, Compliance and Business Operations. The ideal candidate will have a track record of leading projects and be excited at the prospect of delivering on AI-related applications in asset management that result in firmwide efficiencies and novel insights whilst partnering with some of our most senior stakeholders.

Requirements

• MSc or preferably PhD in a quantitative subject
• 7+ years of work experience, preferably at a finance or tech company
• Expertise in Large Language Models, GenAI, Natural language Processing and Neural Network Architectures
• Advanced Python coding skills with experience in traditional data science packages (Numpy, Pandas)
• Basic SQL. Knowledge of other databases a plus
• Mid-level knowledge of PyTorch or TensorFlow
• Track record of Project Management and delivering positive outcomes with a preference for prior team leadership experience
• Interest in financial markets, macroeconomics and investment management
• Strong results orientation and an ability to run multiple agendas concurrently
• Proactive, well organised, high-energy self-starter who works well in a team environment
• Ability to tackle sophisticated problems efficiently to a tight-deadline in a fast-paced professional environment

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