Principal Software Engineer - Data/Financial Modeling
Listed on 2026-01-02
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IT/Tech
Data Analyst, Data Science Manager
Job 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.
Conduct thorough analysis of current allocation processes and identify areas for improvement and innovation.
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. Apply deep knowledge of finance, P&A, and allocations to guide strategic decisions and ensure alignment with industry best practices.
Provide expert advice on financial modeling, budgeting, and forecasting to support allocation strategy.
Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm.
Build strong relationships with key stakeholders across the organization to gain support and buy-in for strategic initiatives.
Present complex ideas and strategies in a clear and compelling manner to influence decision-makers and drive change. Address concerns and challenges raised by stakeholders, providing solutions and maintaining open lines of communication.
7+ years of experience or equivalent expertise in Software Engineering, with a focus on leading complex technology projects and programs in large organizations.
Proven experience in finance, P&A, and allocations within a technology-driven environment.
Strong understanding of data engineering principles and practices.
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.
Familiarity with financial modeling and analysis tools.
Experience with data visualization and business intelligence platforms.
Knowledge of industry-specific regulations and compliance standards
Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred.
Jersey City,NJ $ - $ / year
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