Senior Principal Product Manager, Fixed Income Product Management

Senior Principal Product Manager

ICE Data Services, a subsidiary of Intercontinental Exchange, is seeking a Senior Principal Product Manager to drive the growth, vision, and direction of our Fixed Income Pricing product suite, with a particular focus on Credit (Investment Grade and High Yield) and/or Securitized Products (ABS, MBS, TBA, CMO and related mortgage products). This is a senior individual-contributor role: you will set product priorities and strategy, partner with senior leadership, sales, data science, engineering and clients, and personally lead the most complex, data-intensive workstreams. You will be responsible for shipping a product roadmap that aligns with client needs and business goals, building credibility with priority clients and prospects, and positioning our product strategy and vision to internal and external stakeholders.

As a Senior Principal Product Manager driving our product vision, you will balance short-term execution with long-term strategic goals. You are AI-adept and hands-on with data: comfortable interrogating large (1MM+) fixed-income datasets, prototyping ML models, and using modern AI tooling (including Claude Code) to accelerate research, evaluation and delivery. You will oversee product requirements, design, and content enhancement strategies, ensuring alignment across teams to deliver impactful results in a dynamic, fast-paced environment.

Responsibilities

• Develop a deep understanding of Fixed Income market trends and client needs across Credit (IG/HY) and Securitized Products to shape a forward-looking product strategy. Articulate and deliver the product vision to internal teams, clients, and partners.
• Build and own a comprehensive product roadmap aligned with business objectives and client requirements. Partner with engineering, data science, and evaluations teams to execute and deliver on the roadmap, ensuring features are successfully brought to production.
• Act as the face of the product, engaging directly with buy-side and sell-side clients, conducting client visits, and translating their workflows into concrete product requirements.
• Personally lead hands-on data analysis on large fixed-income datasets (pricing, evaluated quotes, trades, reference data, mortgage data) to size opportunities, validate model behavior, and back up roadmap decisions with evidence.
• Prototype and evaluate ML-driven product features (e.g. pricing, liquidity, anomaly detection, classification) and use Claude Code and other AI coding tools to accelerate research, internal tooling, and proof-of-concepts end-to-end.
• Identify and prioritize opportunities to drive product growth and differentiation while balancing resources and business needs.
• Influence without authority across development, data science, sales, and business development to ensure alignment with the product vision and execution priorities.

Knowledge and Experience

• Significant experience in Fixed Income, with deep working knowledge of Credit (IG/HY, CDS, credit indices) and/or Securitized Products (ABS, MBS, CMO). Exposure to Rates is a plus.
• Practical experience applying Machine Learning to financial problems — feature engineering, model selection, evaluation, and understanding when ML is (and isn't) the right tool.
• Day-to-day user of modern AI coding tools, including Claude Code, for prototyping, data exploration, and internal tooling. Able to direct agentic coding workflows safely and productively.
• Ability to define, communicate, and execute a strategic product vision, and to influence senior internal and external stakeholders without direct reporting authority.
• Strong understanding of financial markets, trading workflows, and portfolio management processes — particularly how Fixed Income desks consume pricing, evaluated data, and analytics.
• Excellent presentation and communication skills, with a track record of turning complex quantitative work into clear narratives for clients and executives.
• Expert problem-solving skills. Adept at understanding complex business problems and opportunities in the context of the current state and recommending solutions that enable the organization to achieve its goals
• Driven, motivated and willing to take on challenging tasks. Ability to navigate a fast-paced environment, balancing immediate deliverables with long-term strategic goals; collaborative mindset with a bias toward learning and ownership.
• Understanding of the Software Development Life Cycle (SDLC). Experienced with Jira.
• General technical background required (understanding of principles and key practices in the areas of application programming, database, and system design).

Preferred Knowledge and Experience

• Bachelor's or Master's degree in Finance, Economics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• 10+ years of relevant experience across Fixed Income product management.
• quantitative research, data science, or trading/structuring roles.
• Strong technical skills in Python and SQL; comfort with notebooks, version control, and reproducible analysis.
• Demonstrable experience applying ML and/or LLM-based tooling (including Claude Code) to real workflows.
• Prior experience in product management for financial services, market data, or fintech is a strong plus.
• Experience with INTEX is a plus.

New York Base Salary Range

The expected base salary for this role, if located in New York, is between $120,000 – $220,000 USD. The base salary range does not include Intercontinental Exchange's incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.