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The Group Head of FP&A at Iress plays a vital role in guiding strategic financial decision-making, delivering insights to the Executive Leadership Team. The position involves overseeing budgeting, forecasting, and reporting processes, leading a team of analysts, and driving financial improvements and technology integration to enhance performance and risk management.

As General Manager of Technology at Iress, you will lead the engineering team to deliver high-quality technology products and services. You will design and manage infrastructure while ensuring alignment with business goals. Your responsibilities include mentoring teams, driving engineering excellence, and fostering a culture of operational efficiency.

The Implementation Specialist will implement and configure trading and market data software, guide clients through the process, establish best practices, collaborate with stakeholders, and provide ongoing support to ensure successful adoption of the software.

The Salesforce CPQ Administrator/Solution Designer will manage Salesforce CPQ systems, design and implement solutions, customize configurations, provide training, oversee integrations, and develop reports to enhance sales efficiency and accuracy while ensuring compliance with regulations.

You will design and implement network solutions in data centers and AWS cloud, provide technical support for network operations, create and document network standards, and consult business units on network technology and architecture.

The Sales Account Manager at Iress will drive new client acquisition and manage existing client relationships in the trading and market data segment. Responsibilities include developing sales strategies, conducting market research, presenting products, negotiating contracts, and collaborating with teams to enhance sales efforts and ensure client satisfaction.

As a Data Engineer at Iress, you will design, develop, and maintain data infrastructure while ensuring data integrity and efficiency. You will collaborate with cross-functional teams to optimize data processes and contribute to data governance practices.