Product Owner with Capital Market

Title: Product owner

Location: Jersey City NJ / Charlotte NC

Hiring Mode: Full Time

Note: C2C candidates are not eligible for this position. Please do not apply if you are looking for C2C opportunities.

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 > 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.