About Me
Product Manager with a technical background, experienced in building and improving data-driven products in fintech and trading environments. Strong at understanding user workflows, defining clear requirements, and workin…
Product Manager with a technical background, experienced in building and improving data-driven products in fintech and trading environments. Strong at understanding user workflows, defining clear requirements, and working closely with engineers to deliver practical, well-scoped solutions.
Experience
Founder & Product Lead
Built a strategy validation platform delivering institutional-style analytics (walk-forward optimisation, Monte Carlo simulation, position sizing, and transaction cost modelling) within a single, coherent workflow.
Designed and implemented an automated data-quality system detecting and correcting seven common market data issues (e.g. invalid OHLC values, price spikes, volume anomalies), removing the need for manual data cleaning.
Architected and developed a full-stack TypeScript application (React, Express, Supabase), including a custom analytics engine designed for performance and reliability without reliance on external services.
Integrated a privacy-first AI insight layer using local LLMs to translate complex performance metrics into clear, actionable guidance without exporting sensitive financial data.
Scoped the MVP deliberately to four high-impact validation metrics, prioritising clarity and decision support over feature breadth.
Preparing a structured beta programme with a small group of traders to assess time-to-insight improvements and feature usage prior to wider release.
Founder & Product Lead
Built a strategy validation platform delivering institutional-style analytics within a single, coherent workflow., Designed and implemented an automated data-quality system detecting and correcting seven common market data issues., Architected and developed a full-stack TypeScript application (React, Express, Supabase) including a custom analytics engine., Integrated a privacy-first AI insight layer using local LLMs., Scoped the MVP deliberately to four high-impact validation metrics., Preparing a structured beta program with a small group of traders.
eFX Trading Analyst (Product & Trading Systems)
Worked with traders and engineers to support improvements to an electronic FX pricing and execution platform used across G10 currencies.
Helped surface workflow friction and operational pain points through conversations with desk users, feeding insights into feature discussions and prioritisation.
Contributed to defining requirements for small automation and process improvements aimed at reducing manual steps in order handling.
Supported backlog refinement and feature scoping during ongoing platform improvement work.
eFX Trading Analyst (Product & Trading Systems)
Worked with traders and engineers to support improvements to an electronic FX pricing and execution platform., Helped surface workflow friction and operational pain points through conversations with desk users., Contributed to defining requirements for small automation and process improvements., Supported backlog refinement and feature scoping during ongoing platform improvement work.
Software Engineering Intern (12-Month Industrial Placement, Product Integration)
Worked as part of an engineering team on a data migration initiative spanning Risk, Operations, and Trading.
Acted as a bridge between business users and engineers, translating stakeholder needs into clear requirements for data models, APIs, and ETL processes.
Supported sprint planning, backlog refinement, and dependency tracking across multiple delivery cycles.
Built Python and SQL automations that reduced manual risk reporting effort and improved access to key metrics for business users.
Designed internal dashboards that made previously siloed data more visible and usable across teams.
Software Engineering Intern (12-Month Industrial Placement, Product Integration)
Worked as part of an engineering team on a data migration initiative spanning multiple areas., Acted as a bridge between business users and engineers translating stakeholder needs into clear requirements., Supported sprint planning, backlog refinement, and dependency tracking across multiple delivery cycles., Built Python and SQL automations that reduced manual risk reporting effort.