Product Manager with Capital Market(Risk mitigation, product strategy)
Job details
- Posted
- Oct 9, 2026
- Last confirmed open
- Oct 9, 2026
About this role
Role: Product Manager with Capital Market
Multiple Location: Jersey City NJ, Charlotte NC , Pennington NJ
Roles & Responsibilities
1.Product Vision & Strategy
- Define and own the product vision aligned with business objectives.
- Understand front-office, middle-office, and back-office workflows.
- Translate Capital Markets business needs into product roadmaps.
- Prioritize features that drive revenue, efficiency, risk reduction, and regulatory compliance.
2. Backlog Ownership & Agile Delivery
- Own and prioritize the product backlog.
- Write and maintain epics, features, and user stories.
- Define acceptance criteria.
- Participate in Sprint Planning, Backlog Grooming, Sprint Reviews, and Retrospectives.
- Make prioritization decisions based on business value and risk.
3. Capital Markets Domain Leadership
Must possess strong knowledge of one or more areas:
- Equities
- Fixed Income
- FX (Foreign Exchange)
- Derivatives
- Prime Brokerage
- Trade Lifecycle
- Clearing & Settlement
- Syndication & New Issue Processing
- Electronic Trading Platforms
Knowledge of Primary Markets, Syndication, Book Building, Fixed Income, and Equities workflows is particularly valuable in Capital Markets environments.
4.
Stakeholder Management
Work closely with:
- Traders
- Sales teams
- Risk teams
- Compliance teams
- Operations
- Technology teams
- Senior business executives
The PO acts as the bridge between business and technology, ensuring business requirements are delivered correctly.
5. Regulatory & Risk Management
a Product Owner must understand:
- Market regulations
- Operational risk
- Data governance
- Audit requirements
- Model risk controls
- Regulatory reporting obligations
Ensure product features comply with internal control and regulatory standards.
6. Data & Technology Understanding
A modern Capital Markets PO is expected to understand:
- APIs
- Cloud platforms
•< span style="white-space:pre"> Data lakes
- AI/ML use cases
- RAG and GenAI solutions
- Real-time event processing
- FIX Protocol
- Kafka
- Trade messaging flows
Not necessarily hands-on coding, but strong technical fluency is required to engage effectively with engineering teams.
7. Business Analysis & Value Realization
- Gather business requirements.
- Analyze gaps in current processes.
- Define KPIs and success metrics.
- Measure adoption, productivity improvements, and business outcomes.
- Drive continuous improvement initiatives.
8. UAT & Release Management
- Lead User Acceptance Testing (UAT).
- Validate business outcomes before production releases.
- Approve releases from a business perspective.
- Coordinate production rollouts and stakeholder communication.