Seaspan employees are goal-driven and thrive in a high-performance culture. Our integrated business model, with over 25 years of fleet life-cycle management expertise, provides the world’s major shipping companies with long-term leases on large, modern and technologically advanced vessels, combined with industry-leading ship management services. As owner and operator of the vessels, we provide skilled officers and crews dedicated to the safe, reliable, and economical operation of our fleet. Seaspan's fleet has evolved over time to meet the varying needs of our customer base. We own vessels in a wide range of sizes, from 2,500 TEU to 24,000 TEU. Our main operating offices are located in Singapore, Vancouver, Hong Kong, and Mumbai.
The Business Intelligence department is responsible for enabling the Enterprise Data & Analytics Strategy across the organization by providing unified approaches, tools, and standards for all facets of Seaspan’s data management and consumption. Within this department, the Finance Intelligence Team works in close partnership with Finance, Business Development, and Technology functions to support data-driven decision-making and digital transformation initiatives.
The Finance Data Developer will play a key role in designing and implementing scalable data-driven financial logic and analytical solutions across enterprise platforms. This role focuses on translating complex financial models into data models, pipelines, and reusable code components, enabling improved data consistency, enhanced valuation capabilities, and integration of finance logic into enterprise data ecosystems and emerging AI solutions.
In addition, the role will contribute to the development of a scalable finance coding library, standardizing financial logic for reuse across use cases, and support the design and build of valuation tools to deliver tangible commercial value and enhance decision-making across the business.
Responsibilities:
Design and implement centralized financial calculation logic (e.g., revenue, cashflow, liquidity, valuation) as scalable data models and reusable code components.
Translate complex financial models and business requirements into data pipelines, data models, and transformation logic.
Collaborate with Data Scientists, Data Operations, and BI teams to integrate financial logic into enterprise platforms (e.g., Databricks, EDW, data lake).
Requirements and Qualifications:
Bachelor’s degree in Computer Science, Engineering, Information Systems, Finance, Accounting, Economics, or a related field.
A minimum of 3–5 years of professional experience in software development, data engineering, or related technical roles; experience supporting finance, financial systems, or analytics use cases is preferred.
Strong understanding of corporate finance concepts, including financial reporting, cashflow analysis, liquidity management, and valuation methodologies.
Strong communication and documentation skills, with the ability to collaborate across Finance, Commercial, and Technology teams.
Additional Qualifications:
Compensation and Benefits Package:
Seaspan’s total compensation is based on our pay-for-performance philosophy that rewards team members who deliver on and demonstrate our high-performance culture. The hiring range for this position is $80,000 - $95,000 CAD per annum. The exact base salary offered will be commensurate with the incumbent’s experience, job-related skills and knowledge, and internal pay equity.
Seaspan Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We thank all applicants in advance. If your application is shortlisted to be included in the interview process, one of our team will be in contact with you.
