JPMorgan Chase is looking to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable manner by providing expertise and engineering excellence in data product development and allocation transformation.
Requirements
- Formal training or certification on principal software engineering concepts and 10+ years applied experience
- Strong understanding of data engineering principles and practices.
- Familiarity with financial modeling and analysis tools.
- Experience with data visualization and business intelligence platforms.
Responsibilities
- Lead Data Product Development/Creation and implementation of a strategic roadmap for allocation transformation, ensuring alignment with the firm's long-term goals and objectives.
- Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership.
- Drive the design and development of data products that enhance allocation processes and provide actionable insights to stakeholders.
- Collaborate with data engineering and analytics teams to build scalable and robust data solutions that support business needs.
- Define data product requirements, including data sources, integration points, and user interfaces, ensuring they align with strategic objectives.
- Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm.
Other
- Proven experience in finance, P&A, and allocations within a technology-driven environment.
- Prior Banking experience
- Demonstrated ability to influence stakeholders and drive strategic initiatives.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication and interpersonal skills, with the ability to work collaboratively across teams.
- Experience in leading transformation projects and managing change within an organization.
- At least 10 years experience in Banking Domain, Card Industry preferred
- Knowledge of industry-specific regulations and compliance standards
- Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred.
