About LUMA FZ-LLC — Quantitative Finance Firm
LUMA is a quantitative finance firm incorporated in Ras Al Khaimah, United Arab Emirates. We build proprietary infrastructure for systematic trading and provide selective consulting to institutional counterparties.
Our team operates at the convergence of applied mathematics, statistical modelling, and market microstructure. We design, develop, and deploy end-to-end trading systems — from alpha research through execution — with a focus on digital asset and crypto-native markets.
We do not manage external capital. We do not accept inbound pitches. We work with a small, vetted group of counterparties on our own terms.
Our edge is technical. We invest in infrastructure, not narratives. Every system is engineered for fault tolerance, every model validated against out-of-sample data, and every execution pathway tested under adversarial conditions.
We take a research-first approach to markets. Every strategy begins with a hypothesis grounded in microstructure theory or statistical mechanics, validated through rigorous backtesting against out-of-sample data, and deployed only when edge persistence is demonstrable across multiple market regimes.
Our infrastructure is designed for resilience. We maintain redundant connectivity across venues, implement real-time risk controls at every layer of the stack, and operate with strict position limits and automated circuit breakers. Downtime is not an option.
We believe in compounding small, consistent returns rather than chasing outlier events. Our strategies are capacity-aware, our models are decay-aware, and our execution is designed to minimise market impact at every step.
Our team combines deep expertise in quantitative research, software engineering, and financial markets. We operate as a flat, technical organisation where every contributor writes code, reviews models, and has direct exposure to production systems.
We hire selectively and invest in long-term relationships. Our culture values rigour over intuition, reproducibility over anecdote, and silence over noise.