Quantitative Research
Systematic investigation of market structure, price formation and the statistical properties of financial time series.
Machine Learning
Learned representations of noisy, non-stationary data, evaluated with the same statistical rigor as any classical model.
Statistical Modeling
Estimation, inference and model validation under regime change, fat tails and limited sample sizes.
Market Microstructure
How order flow, liquidity provision and venue mechanics shape price at the smallest observable timescales.
Optimization
Portfolio and execution problems formulated and solved under real-world constraints, not idealized ones.
Alternative Data
Extracting signal from unconventional data sources while holding a high bar for statistical significance.
Simulation
Market and agent-based simulation used to stress-test models before capital ever touches them.
Applied Mathematics
Stochastic processes, functional analysis and numerical methods as working tools, not abstractions.