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 Solution Developer will play a key role in designing and implementing scalable financial logic and analytical capabilities across systems. This role focuses on translating complex financial models into structured, reusable technical components, enabling improved data consistency, enhanced valuation capabilities, and integration of finance logic into enterprise data platforms and emerging AI solutions.
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. Proficiency in Python for financial modeling, data processing, and logic implementation. Experience working with data platforms such as Databricks, PySpark, or similar data processing frameworks is preferred. Understanding data pipelines, data structures, and system integration concepts. Ability to translate complex financial concepts into structured, scalable technical solutions. Strong analytical and problem-solving skills with high attention to detail and data accuracy. Strong communication and documentation skills, with the ability to collaborate across Finance, Commercial, and Technology teams. Self-starter capable of working independently and driving solutions in a fast-paced environment.
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.