Leonard Loosen
Product Lead with end-to-end 0→1 experience, combining a hands-on builder mindset, a strong technical foundation, and a passion for building products people love.
Experience
Building and scaling a product from pre-MVP to Series A in an early-stage environment.
Fintech company that enables users to track, analyze, and optimize their net worth.
I joined getquin at a pre-MVP stage in 2019 and have been with the company for over six years, helping build and scale both the product and the organization through its growth to Series A (>$15M raised, 500K+ user downloads).
Projects
Below are selected product initiatives that illustrate how I approach product work in practice, from shaping problems to delivering solutions at scale.
Core product & user value
Work on the heart of the product — focused on helping users understand, manage, and improve their investments by transforming fragmented financial data into a clear, engaging, and trustworthy product experience.
Portfolio aggregation & tracking
I worked end to end on building a unified portfolio experience that lets users connect multiple financial institutions and view their full net worth in one place with up-to-date data. This experience was central to the product’s value, as clarity, reliability, and speed directly impacted user trust, engagement, and retention. I owned the core use cases and user flows, translating complex financial data and technical constraints into a clear, scalable product experience that improved over time.
Portfolio analysis & insights
For portfolio analysis and insights, I worked on a set of analytical tools that helped users understand their portfolios through performance tracking, dividend insights, asset allocation, and comparisons over time. These features turned aggregated data into actionable insights, enabling users to better understand risk and performance and engage more actively with their investments. I was responsible for translating complex financial data into clear, meaningful metrics and visualizations as the product evolved.
AI-Powered Portfolio Insights & Assistance
To extend the core product with decision support, I led the development of an AI-powered layer that helped users better understand and improve their portfolios through an AI portfolio score, concrete recommendations, and a conversational in-app assistant. Rather than positioning AI as a standalone feature, the goal was to apply it to real user problems — supporting investment decisions by offering an additional, transparent perspective on risk, structure, and opportunities while keeping users fully in control.
Social network
In parallel to the core portfolio product, I was involved end to end in building the social network, from shaping the initial concept to implementation within the product. This required balancing the dynamics of a two-sided marketplace — encouraging content creation while ensuring a high-quality and relevant experience for consumers. A key part of my role was designing interaction patterns and incentives that supported meaningful participation and sustainable network effects, while ensuring the social layer complemented the core portfolio product.
Platform, Integrations & Technical Foundations
Building the technical foundations that enable the product to scale — from financial connectivity and data infrastructure to reliable delivery across web and mobile apps.
Portfolio aggregation & tracking
I worked end to end on building a unified portfolio experience that lets users connect multiple financial institutions and view their full net worth in one place with up-to-date data. This experience was central to the product’s value, as clarity, reliability, and speed directly impacted user trust, engagement, and retention. I owned the core use cases and user flows, translating complex financial data and technical constraints into a clear, scalable product experience that improved over time.
Portfolio analysis & insights
For portfolio analysis and insights, I worked on a set of analytical tools that helped users understand their portfolios through performance tracking, dividend insights, asset allocation, and comparisons over time. These features turned aggregated data into actionable insights, enabling users to better understand risk and performance and engage more actively with their investments. I was responsible for translating complex financial data into clear, meaningful metrics and visualizations as the product evolved.
How I work
This section highlights how I approach product work in practice, with a strong focus on execution, collaboration, and making progress in ambiguous environments.





