Senior Systems Developer

SUMMARY:
The Senior Systems Developer will be responsible for designing, building, and maintaining scalable, secure and user-centric systems platforms to support consulting, reporting and the SaaS function.

POSITION INFO:
Key Responsibilities:

• Systems Design & Architecture:
  • Lead the design and development core systems platform, including automation, reporting, and SaaS tools.
  • Architect scalable solutions for client reporting, investment modeling, and process automation.
  • Ensure seamless integration between internal tools (ALM, ESG, Tender Response, and Unit Pricing) and external data sources.
• Development & Delivery:
  • Build and maintain applications and APIs to support consulting, manager research, and reporting functions.
  • Develop SaaS products such as ESG tools, economic scenario generators, and NRR modules for external clients.
  • Apply best practices in coding, testing, version control, and CI/CD pipeline implementation.
• Collaboration & Leadership:
  • Partner with Consulting, Manager Research, and Operations teams to translate business requirements into technical solutions.
  • Mentor Junior Developers and foster a culture of innovation and continuous learning.
  • Collaborate with the Head of Systems & Reporting to define and execute the long-term systems roadmap.
• Governance & Quality:
  • Ensure that all systems comply with data security, regulatory, and governance standards.
  • Conduct regular performance reviews of systems and recommend enhancements.
  • Maintain comprehensive documentation of architecture, processes, and code for sustainability and scalability.

• Bachelor / Masters in Computer Science or Software Engineering
• 6-10 years of software development experience, with at least 3 years in a senior / lead role
• Proven track record of building scalable enterprise systems or SaaS platforms
• Strong proficiency in modern programming languages (Python, R, JavaScript/TypeScript or C#)
• Experience with databases (SQL, PostgreSQL, and MongoDB) and data modelling
• Familiarity with cloud platforms (AWS/Azure/GCP) and containerization (Docker and Kubernetes)
• Experience with data visualisation / reporting tools (Power BI, Shiny, and Tableau)

• Software Development
• Data Engineer
• Data Analyst
• Infrastructure
• Architecture
• ... and more!