The Pepperstone story started in 2010. We know what it’s like to trade the world’s markets. Our team describes us as a place for the curious and the driven, and we like to do things a little differently; as a transformative global fintech we’re digital, nimble, connected, and united in our vision to create a better way to trade.
We thrive on progress – for our clients and for ourselves. Our organisational culture is ever-evolving, vibrant, diverse, global and results focused. You’ll find our 550+ team currently across 11 locations and 9 time zones.

Our technology team thrives on inclusivity and collaboration, believing that diverse perspectives lead to great solutions. We foster a culture that champions individual growth, professional development, and work-life harmony. We’re invested in your success and dedicated to supporting you every step of the way. We encourage our team to bring challenge thinking and fresh ideas to the table and our Agile approach empowers us to focus on outcomes. When we hire someone it’s because they bring the skills, attitude and experience we’re looking for….so we let you do what you’re best at! Join us and be part of a community that’s passionate about harnessing technology’s potential to drive market leading solutions for our clients. Elevate your career in an environment where your ideas matter, your growth is nurtured, and your potential is limitless.
The Business Process & Value Analyst’s Purpose is to identify, analyse, and optimize business processes that can be enhanced through Data science, AI & other emerging technology solutions, while quantifying their financial impact. They develop comprehensive business cases that demonstrate the value and ROI of automation-driven process improvements through rigorous cost-benefit analysis. They lead the successful integration of the technologies into targeted business processes, driving effective change management to ensure adoption and measuring outcomes against defined success metrics. They serve as the critical link between technological innovation and business value realization, ensuring the new solutions deliver measurable improvements to the company’s operational efficiency and financial performance.
The Value Proposition of the Business Process & Value Analyst is to accelerate the organization’s Data science & AI transformation by identifying high-impact process opportunities and translating them into successful technology implementations with demonstrable ROI. They bridge the gap between technical capabilities and business needs by ensuring that solutions are seamlessly integrated into existing workflows and drive measurable financial outcomes. By combining process expertise with value analysis, they minimize implementation risks while maximizing returns on Data science, AI & emerging technology investments, ultimately transforming how the business operates and competes in the marketplace.

As our Business Process & Value Analyst, your key responsibilities include, but may not be limited to:

• Process Discovery & Mapping
• Analyse and document current business processes across departments to identify Data science & AI transformation opportunities
• Collaborate with stakeholders to understand process pain points and business requirements
• Create detailed process maps and workflow diagrams that serve as the foundation for Data science & AI solution design
• Value & Impact Assessment
• Quantify the financial impact of existing process inefficiencies (costs, revenue loss, resource utilization)
• Provide data-driven investigations and clear ROI projections to Product managers, Product owners and other business stakeholders in developing and prioritising Data science & AI use cases
• Solution Integration
• Collaborate with AI engineers, data scientists, and IT teams to integrate automation solutions into existing operations
• Oversee the operationalisation of the newly developed tools, ensuring seamless adoption and minimal disruption
• Change Management
• Lead change management initiatives to drive adoption of AI-enhanced processes
• Work with Product owners & delivery teams to offer training and support to business units impacted by introduction of the new technologies
• Performance Measurement
• Establish KPIs and success metrics aligned with business objectives for each Data science & AI implementation
• Design monitoring frameworks to track performance improvements post-implementation
• Report on value realization and ROI achievement to key stakeholders
• Risk Management & Compliance
• Assess risks associated with AI integration and develop mitigation strategies

• Ensure AI-driven processes comply with industry regulations, data security, and ethical AI principlesMaintain accurate and up-to-date documentation of processes and procedures