Bruno Galiati
From data to product. From problem to user.
Economist, 6 years in wealth management and a SaaS in production with ~500 active users/month. I build what solves.
FIDCs.com.br
Data platform · credit funds
From analyst to product builder
I started in 2018 as the analyst who automated everything: dashboards, pipelines, internal tools that wealth management teams used to allocate millions. What I didn't know was that I was already doing product — identifying pain points, building solutions, and iterating based on real usage.
In 6 years, I evolved from intern to analyst at the intersection of investments and technology. But what set me apart wasn't just the technical side — it was understanding the user's problem, prioritizing what mattered, and delivering something people actually used.
In 2025, I launched FIDCs.com.br, my first public product. I went from discovery to acquisition: identified a real market pain, validated with users, built the MVP, iterated based on feedback, and reached ~500 active users/month in 5 months. No investment, no team. Just product and execution.
What I do well
- Identify real problems and turn them into product
- Discovery, prioritization and impact-driven roadmap
- Build functional MVPs from scratch (design to deploy)
- Make decisions with data: metrics, cohorts, funnels
- Communicate technical vision to non-technical stakeholders
What I build
FIDCs.com.br
Own product · SaaS · B2B Fintech
Data platform for credit funds
Credit analysts spend hours every week collecting and reorganizing fragmented CVM data to perform basic FIDC analyses. There was no accessible tool for this.
Product that transforms public data into actionable intelligence. Discovery with real analysts, MVP validated in 3 weeks, continuous iteration based on usage and feedback. From 0 to ~500 active users/month in 5 months.
- •Discovery with analysts: persona and jobs-to-be-done definition
- •MVP in 3 weeks: automated collection and per-fund dashboards
- •Iteration based on feedback and usage metrics
- •Freemium model with conversion for data export
- •Organic acquisition via pSEO (per-fund and per-manager pages), no paid media
- •Roadmap prioritized by user impact
CallBoost AI
Real-time call transcription and analysis platform with AI. Automatic insights, specialized agents, and credit-based model.
Risk Monitoring System
Streamlit dashboards for default, subordination, and liquidity analysis in FIDC and CLO portfolios.
Quantitative Credit Models
Cash flow projections and stress scenarios for structured credit assets.
Automated CVM Pipeline
Collection, standardization, and storage of CVM and ANBIMA regulatory reports.
ML for Due Diligence
Clustering (K-means) for performance segmentation and strategic fund tracking.
Trajectory
Investment & Data Analyst
Continuation of Quadrante Investimentos' wealth management operation (2020), integrated into the Arandu group (2023-2025), now under the CVPAR structure.
- •Quantitative models for structured credit (FIDCs, CLOs): cash flow projections, default scenarios, risk assessment
- •Interactive dashboards in Python/Dash/Streamlit for real-time portfolio analysis
- •Data pipeline architecture for CVM/ANBIMA with automated processes
- •Analytical automation via NLP/LLM for real-time extraction and transcription
- •Due diligence with ML (clustering) for performance analysis
- •Reports for investment committees and commercial teams
Founder & Product Manager
Own product. From pain identification to ~500 active users/month, with no investment.
- •Discovery with market analysts: persona definition, JTBD, and value proposition
- •Roadmap prioritized by impact: usage metrics, qualitative feedback, and technical effort
- •Functional MVP in 3 weeks with automated collection and interactive dashboards
- •Freemium model: free plan with conversion for export and advanced data
- •Acquisition via pSEO (per-fund and per-manager pages) from 0 to ~500 active users/month, no paid media
- •Data-driven product decisions: retention cohorts, activation funnels, feature adoption
Investment Analyst
Migrated with Quadrante's operation after acquisition. Focus on structured credit, FIDCs, and analytical infrastructure.
- •Quantitative models for FIDCs and CLOs (cash flow, default scenarios)
- •Python/Dash/Streamlit dashboards with real-time insights
- •Due diligence with ML (K-means) for fund segmentation
- •Automation via NLP/LLM for extraction and transcription
- •Reports for committees and commercial teams
- •Participation in Product and Strategy Committees
Investment Analyst
- •Due diligence of managers and funds for institutional allocation
- •Structuring and monitoring portfolios with 50+ vehicles
- •Automation of reporting and data consolidation processes
- •Support for investment committees and strategic planning
Intern
Career start in investment analysis and wealth management.
Stack & Skills
Product
- Product Discovery & Strategy
- Roadmap & Prioritization (RICE, ICE)
- Product Metrics (North Star, funnels, cohorts)
- MVP, validation and continuous iteration
- Jobs-to-be-Done & Personas
- Go-to-Market & Business model
Tech Stack
Domain
- Wealth Management
- Product Management
- Structured Credit
- FIDCs & CLOs
- Risk Analysis
- Due Diligence
- Quantitative Modeling
Let's talk
I'm looking for opportunities as a Product Manager, Data PM, or in positions where I can connect product vision with technical execution. If you need someone who understands the problem, knows how to prioritize, and can build — I'd love to chat.