Asset Management - Fixed Income Yield Investment Specialist - Associate

The Global Fixed Income, Currency and Commodities team (GFICC) at J.P. Morgan Asset Management is one of the world's deepest and best-resourced fixed income managers, with expertise across all major fixed income sectors, including niche markets. Every investment decision in our fixed income solutions is underpinned by the proprietary research of a globally integrated team of sector specialists. GFICC manages a broad range of strategies — including High Yield, Systematic Fixed Income, Short Duration, Core/Core Plus, Investment Grade Credit, Emerging Market Debt, Securitized, and Tax-Aware strategies — through funds and separate accounts across the globe.

As an Analyst or Associate Investment Specialist within GFICC, you will support the High Yield investment businesses. This is a dual-mandate role: you will contribute to client-facing investment specialist responsibilities while serving as a technology and innovation resource for the broader GFICC team. You will work at the intersection of fixed income markets and cutting-edge technology, applying tools including artificial intelligence, machine learning, and advanced data analytics to drive efficiencies, improve workflows, and generate insight across the platform.

We are looking for a naturally curious problem-solver who brings both investment market awareness and genuine technical depth, and who thrives in a fast-paced, intellectually demanding environment.

• Partner with senior Investment Specialists, Portfolio Managers, and Client Advisors on new business development and client retention across High Yield strategies.
• Contribute to the production of pitch materials, RFPs, and due diligence responses.
• Prepare fund and strategy presentations, performance commentaries, and other client communications.
• Participate in client meetings and internal forums to support articulation of market views, portfolio positioning, and performance attribution.
• Assist in addressing client inquiries related to current market events and portfolio dynamics.
• Support training of the J.P. Morgan Asset Management sales force on fixed income and quantitative topics.

• Proactively identify opportunities to leverage AI, large language models, automation, and advanced data tools to streamline workflows across GFICC.
• Design and build scalable solutions — using Python, APIs, and relevant AI frameworks — to reduce manual effort in performance reporting, market commentary generation, data aggregation, and presentation production.
• Stay current on emerging technologies and evaluate their practical applicability within an asset management context.
• Collaborate with technology, data, and investment teams across GFICC to translate business problems into well-engineered, repeatable solutions.
• Bring a rigorous, solutions-oriented mindset to every challenge, with a focus on creating durable efficiencies across the platform.

• Bachelor's degree.
• Series 7, 63
• Up to 3+ years of relevant work experience; exceptional recent graduates with demonstrated technical capability will be considered.
• Strong proficiency in Python — comfortable writing clean, functional code and applying it to real analytical problems.
• Working knowledge of global fixed income markets, with familiarity with High Yield or Systematic strategies in particular.
• Genuine intellectual curiosity and a structured, hypothesis-driven approach to problem-solving.
• Strong written and verbal communication skills, including the ability to convey complex quantitative or technical concepts to non-technical audiences.
• Familiarity with Bloomberg and advanced proficiency in Excel and PowerPoint.
• Ability to manage multiple work streams simultaneously, meet tight deadlines, and maintain rigorous attention to detail.

• Prior exposure to machine learning frameworks, large language model APIs, or workflow automation tools.
• Experience with data visualization platforms, cloud computing environments, or financial data infrastructure.
• Degree in Computer Science, Engineering, Mathematics, Statistics, Finance, Economics, or a related quantitative or technical discipline
• CFA candidacy or demonstrated progress toward the designation.
• Prior internship or project experience within asset management, quantitative research, or financial technology.