Moneyhub

Machine Learning Engineer

• Data Enrichment Systems: Build and maintain systems that enhance raw financial data, including our transaction categorisation engine that underpins budgeting capabilities and affordability checking services
• Production-Ready Solutions: Transform data science concepts into robust, high-performance code that can handle our production workloads
• Pragmatic Algorithm Development: Create and optimize algorithms using the most appropriate techniques to solve specific user problems
• Data-Driven Product Innovation: Collaborate with product teams to translate business requirements into technical solutions that enrich financial data
• User Insights: Analyze user characteristics and segmentation to support business decisions and product development

Product Manager

• Engage with clients, industry stakeholders, and market trends to identify new opportunities and pain points.
• Define and prioritise key product themes and outcomes based on business objectives and customer needs.
• Synthesize complex client needs into clear client outcomes and constraints to empower engineering teams to build successful solutions.
• Develop compelling sales collateral, presentations, and demo materials to articulate product value.
• Work with marketing, sales, and customer success teams to drive product adoption and market positioning.
• Manage product launch from ideation to inception and adoption, working with marketing, sales and pre-sales to make it happen.
• Partner with engineering to frame customer problems and desired outcomes, collaboratively shaping solutions that deliver meaningful value.
• Work fluently with the data science team to ensure data insights are market leading and differentiate the product.
• Monitor key product metrics and iterate based on user feedback and business objectives.