Matteo Craviotto

I am passionate about leveraging technology and quantitative methods to drive innovation through investment solutions.

Los Angeles, CA · MS Financial Engineering @ USC

About Me

Driven by curiosity about market behavior, I'm a Financial Engineering student at USC focused on applying data analysis to financial markets. The race to find alpha excites me—discovering patterns in regime shifts, volatility surfaces, or cross-sectional equity signals that translate to real trading strategies.

I'm drawn to the challenge of building models that work not just in backtest but in live markets with transaction costs and changing regimes. My interests span systematic equity research, fixed income modeling, and derivatives pricing. I see myself in quantitative research roles where statistical rigor meets practical trading constraints.

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Technical Skills

Finance & Methods

Time-series modeling · Portfolio optimization · Risk modeling (VaR, Monte Carlo) · Derivatives pricing · Regime detection

Programming & Tools

Python · C++ · SQL · Git

Libraries

pandas · numpy · statsmodels · scikit-learn · LightGBM · cvxpy · matplotlib

Quantitative Research Projects

Applied research in statistical modeling, algorithmic trading, and derivatives pricing

Macro Regime Duration Model

Python · statsmodels · Markov-switching · Nelson-Siegel VAR

Built 3-state Markov-switching model detecting latent Recession/Growth/Expansion regimes in GDP, inflation, and unemployment. Integrated yield-curve forecast with regime-conditioned mean-variance optimizer.

1.08 Sharpe Ratio
-45% Max Drawdown
87% Regime Persistence

Delta-Neutral Options Market-Making Simulator

Python · Black-Scholes · LightGBM · cvxpy · Streamlit

Minute-level NBBO-aware delta-neutral simulator with BS theoretical pricing, Greeks calculation, and put-call parity residual tracking. Features asymmetric spreads with inventory lean and delta-band hedging.

8-15% Target Fill Rate
550+ Fills (800-min test)

Numerai ML Alpha Signals

Python · LightGBM · Purged CV · Feature Engineering

Developed cross-sectional ML alpha signals on ~280M rows and 2.4k features for market-neutral 20-day return forecasts. Deployed live in Numerai's hedge fund with automated weekly retraining.

1.38 Validation Sharpe
0.64 Live Sharpe
300+ Eras Tested

Options Parity Checker

Python · Options Pricing · Real-time Data

Real-time arbitrage detection tool for put-call parity violations across options chains.

Post-Earnings Drift Backtest

Python · Event Study · Statistical Analysis

Systematic analysis of post-earnings announcement drift patterns across market cap segments.

Professional Experience

Numerai

Quantitative Researcher

May 2025 – Present Los Angeles, CA
  • Developed cross-sectional ML alpha signals on ~280M rows and 2.4k features, generating market-neutral 20-day return forecasts
  • Achieved robust validation performance (CORR ≈ 0.029, Sharpe ≈ 1.38) using LightGBM with purged time-series validation
  • Automated weekly production cycle with retraining and governance workflows

DEFINEX

Prompt Engineer

Apr – Sep 2024 Ivrea, Italy
  • Designed and tested prompts to optimize AI model outputs for financial/legal applications
  • Applied structured experimentation to improve accuracy and consistency of proprietary models
  • Developed transferable skills in automation and model calibration

Euronext Securities

Custody Intern · Income & Fiscal Services

May – Nov 2023 Milan, Italy
  • Reconciled 1,000+ annual income and corporate events across derivatives and ABS
  • Engineered Excel/VBA automation reducing processing time from ~1 hour to under 1 minute

Deloitte Consulting

Junior Analyst · Financial Services

May – Aug 2022 Milan, Italy
  • Contributed to design of Deloitte's first secondary-market tax-credit platform
  • Automated eligibility checks and transaction workflows for 5+ major institutions

Get in Touch

Open to quantitative research opportunities, collaborations, and discussions