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Product Manager – Capital Markets and Data
Company | Cross River Bank |
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Location | Edgewater, NJ, USA |
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Salary | $150000 – $180000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Senior |
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Requirements
- 5+ years of experience as a Data Product Manager or in a similar role within the fintech, lending, capital markets, private credit, or related financial services
- Strong technical skills in SQL, data analysis, and the ability to work hands-on with engineering teams
- Familiarity with ETL processes, data modeling, database management, relevant regulations (e.g., SEC, Dodd-Frank, MiFID II) and risk management practices in capital markets and private credit
- Proven experience managing complex data products from ideation to execution
- Ability to simplify and translate technical data concepts for non-technical stakeholders
- Strong communication and stakeholder management skills, with the ability to influence across all levels of the organization
- Bachelor’s degree in Computer Science, Data Science, Finance, or a related field
Responsibilities
- Define and execute the product vision, strategy, and roadmap for data-driven products in lending, fintech, and capital markets
- Work closely with engineering, data analytics, and business teams to ensure seamless integration of data products into existing systems and workflows
- Partner with business stakeholders to understand their needs and translate them into technical requirements
- Utilize SQL and other data tools to analyze large datasets, generate insights, and make data-driven decisions
- Lead the resolution of complex data-related challenges
- Own the end-to-end product lifecycle, from defining requirements and managing the backlog to leading agile development cycles and product launches
- Advocate for intuitive, user-friendly data products
- Leverage your deep understanding of lending, fintech, and capital markets to identify market opportunities and drive innovative solutions
Preferred Qualifications
- Experience with data visualization tools (e.g., Tableau) and other data-related tools
- Familiarity with cloud platforms (AWS, SnowFlake) and big data technologies
- Experience working in an agile product development environment