All Case Studies
Aethelgard Capital Management//Quantitative Finance//COMPLETED: Q4 2025

Autonomous Algorithmic Trading Infrastructure for Quant Capital

Engineered an ultra-low latency event mesh and risk engine processing $4.2B daily trading volume with deterministic P99 latency under 12 microseconds.

11.2 μs
P99 Execution Latency
-99.9%
$4.2B
Daily Transaction Volume
+140%
99.999%
System Uptime Across FY25
Flawless

The Architectural Challenge

The client was experiencing trade execution slippage during high-volatility market opens. Their legacy C++ and Java distributed broker stack incurred intermittent 150ms garbage collection pauses that caused adverse selection on exchange books.

The Engineering Solution

RIZMEC re-architected the entire order management and risk verification system in zero-allocation Rust and DPDK user-space networking, connected to an FPGA tick-to-trade fabric with real-time web telemetry.

Quantified Results & Production Alpha

Eliminated GC latency pauses completely. Decreased average tick-to-order turnaround from 84ms to 11.2 microseconds, yielding a 28% increase in executed strategy alpha.

System Telemetry & Architecture

Architecture view
Architecture view

"RIZMEC is the only engineering partner we have ever trusted to touch our core execution stack. Their architectural rigor is unmatched internationally."

Julian ThorneChief Technology Officer, Aethelgard Capital
    Autonomous Algorithmic Trading Infrastructure for Quant Capital — RIZMEC Engineering Case Study | RIZMEC