REGULATORY CREDENTIAL: ANCORD · CVM Resolution 178
CORPORATE AFFILIATION: Meta Investimentos (XP Investimentos)
ACADEMIC BACKGROUND: UFRJ (Economics) · UFF/MESC · USP/ESALQ

Financial markets consistently penalize speculation, emotional overtrading, and decisions dictated by short-term media noise. In wealth and investment advisory, capital preservation and compound long-term growth stem from first principles: systematic alignment between opportunity cost, downside risk tolerance, and structural liquidity. No hollow marketing promises. Grounded in mathematical discipline and economic evidence.

As an economist graduated from the Federal University of Rio de Janeiro (UFRJ), partner at Meta Investimentos, and graduate researcher in Operations Research and Combinatorial Optimization (UFF/MESC) with an MBA in Data Science & Analytics (USP/ESALQ), I design asset allocation strategies grounded in empirical econometric modeling. Each asset class — sovereign debt securities, inflation-linked bonds, structured private credit, uncorrelated multi-strategy funds, B3 equities, and offshore global assets — performs an explicit causal function within the portfolio. The objective is to maximize risk-adjusted expected return under strict loss constraints, insulating wealth from tail risk events.

Scope of Service: Nationwide & Regional Reach

Modern digital custody and communications infrastructure enable high-precision institutional advisory across Brazil. We provide regular portfolio governance, risk stress testing, and structured remote consultations to investors, families, and corporations nationwide without compromising analytical depth.

Complementing our national reach, we maintain an active in-person advisory presence throughout Região dos Lagos in Rio de Janeiro state. Our primary operating base is established in Araruama, with regular scheduled meetings and strategic consultations in Rio das Ostras and neighboring commercial hubs. Face-to-face proximity and digital reach complement each other directly: clients select the format best suited to their operational schedule.

Advisory Pillars

PILLAR 01

Strategic Asset Allocation

Structuring multi-asset portfolios grounded in modern portfolio theory and structural diversification. Balancing public sovereign debt, inflation-indexed instruments (IPCA+), solid-rating private credit, macro multi-strategy allocations, and offshore FX exposure. Strict focus on long-term compound real yield.

Modern Portfolio Theory Inflation-Linked (IPCA+) Structured Credit Real Yield
PILLAR 02

Quantitative Risk Modeling

Continuous evaluation of covariance matrices and macroeconomic factor sensitivities across portfolio assets. Implementation of historical stress tests, tail-risk metrics (Conditional Value at Risk - CVaR), and strict maximum drawdown controls. Identification and elimination of spurious correlations that unmask during liquidity shocks.

CVaR & Tail Risk Stress Testing Drawdown Control Mathematical Optimization
PILLAR 03

Wealth & Succession Planning

Systematic alignment between family wealth governance, multi-generational liquidity horizons, and fiscal efficiency. Structuring private pension vehicles (PGBL/VGBL), dedicated exclusive funds, and fiduciary succession architecture to safeguard multi-generational capital preservation.

Family Governance Tax Efficiency Pension Structuring Succession Planning

Consultation & Portfolio Review

Share your current portfolio distribution or outline your allocation objectives for a structured quantitative review, without initial commercial commitment.

Direct office phone: +55 (21) 97938-1580 · Handled personally by the advisor
Analytical Utilities

Quantitative Tools & Diagnostics

AVAILABLE · 2 MIN

Wealth Resilience & Fiscal Drag Diagnostic

Interactive lifecycle simulation modeling downside inflation exposure, calculating compound capital erosion from mutual fund tax drag, and computing a formal Wealth Resilience Score with an executive brief.

COMING SOON

Markowitz Efficient Frontier & CVaR Engine

Operations research mathematical module modeling mean-variance portfolio surfaces and historical tail risk stress testing across Brazilian and global asset benchmarks.

Under Calibration