Summary
Nicholas Ferguson is a seasoned developer with a decade of hands-on experience building ultra-high-frequency algorithmic trading engines and infrastructure for major firms including Deutsche Bank, Credit Suisse, Lehman and Barclays. He specializes in low-latency C++ systems, KDB+/Q prototyping, and glue languages (Perl, Python, Java, C#) to deliver real-time market-making, ETF/FX arbitrage and pair-trading solutions. Nicholas has designed exchange simulators, liquidity transformers and delta-gamma engines, and reduced operational risk at market open with robust audit and feed-handler tooling. He pairs deep systems-level optimizations (SIMD, vectorization, assembly reading) with practical network tuning—holding CCNP/CCDP certifications that he used to fix a major FX ARB infrastructure issue. Active on GitHub, he publishes KDB+/Q proofs-of-concept (SABR via Nelder–Mead, Kalman filters, power method) that demonstrate high-frequency computation over large datasets. Based in New York, he combines quantitative rigor with production engineering to move research-grade ideas into latency-sensitive trading deployments.
10 years of coding experience
6 years of employment as a software developer
English, French, Spanish