Product Manager (Bank/Finance/FinTech)

  • New York, NY
  • Posted 13 hours ago | Updated 13 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Alternative Investments
Computer Science
Customer Intelligence
Data Governance
Finance
Cloud Computing
Collaboration
Communication
Competitor Analysis
Generative Artificial Intelligence (AI)
Amazon Web Services
Analytics
Artificial Intelligence
Asset Management
Microsoft Azure
Optimization
Portfolio Management
Product Management
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Market Research
Confluence
Good Clinical Practice
Google Cloud Platform
Stakeholder Management
MBA
Modeling
JIRA
Regulatory Compliance
Roadmaps
Use Cases
Workflow

Job Details

We are seeking a highly motivated and strategic Product Manager with a strong background in AI technologies and deep domain knowledge in asset management. You will lead the development and optimization of AI-powered solutions that transform investment workflows, portfolio management, risk modeling, and customer intelligence.

Key Responsibilities
Own the product lifecycle from strategy to execution for AI-powered asset management solutions.
Partner with data scientists, ML engineers, and financial analysts to define and deliver features that drive investment insights.
Develop and maintain product roadmaps, aligning with organizational goals and client demands.
Collaborate with design and engineering teams to deliver intuitive user experiences for portfolio managers, analysts, and operations teams.
Translate complex financial problems into scalable AI/ML product solutions.
Ensure regulatory compliance and data governance in all product features.
Conduct competitive analysis and market research to keep the product ahead of trends in AI, finance, and asset management.
Engage with customers and internal stakeholders to gather feedback and iterate.
Required Qualifications
10 -15+ years of experience in product management, with 2+ years in AI/ML-related products.
Deep understanding of the asset management ecosystem investment operations, risk analytics, fund performance, or portfolio management.
Proven experience working with AI/ML teams and bringing models into production environments.
Strong technical acumen; ability to interface with engineers and data scientists.
Exceptional communication and stakeholder management skills.
Experience with tools like JIRA, Confluence, Figma, and basic analytics platforms.

Preferred Qualifications
Background in Computer Science, Finance, or related discipline; MBA or advanced degree is a plus.
Experience in buy-side platforms, wealth tech, or alternative investments.
Familiarity with cloud-native environments (AWS/Google Cloud Platform/Azure) and MLOps pipelines.
Exposure to generative AI or LLM use cases in the financial domain.

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