David Ainsworth - Quantitative Technology Director

David Ainsworth

Quantitative Technology Director

London, England, United Kingdom

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Summary

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Senior

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Top School

David Ainsworth is a quantitative technology director based in London with a decade of experience building low-latency, distributed systems and scalable data platforms for systematic trading. He has progressed from C++ low-latency feed handler developer to tech lead and engineering manager roles, then led the design and delivery of new tick-data and real-time data infrastructures as Head of Data Engineering before moving into his current leadership role. David combines deep systems-level expertise (C++, Java, Kotlin, C#) with hands-on algorithmic and HPC experience from a PhD in bioinformatics, where he produced a >1000x speed improvement in sequence comparison. He is passionate about operationalising machine learning and quant research into production-grade pipelines and mentoring teams to deliver robust, low-latency solutions. A detail that surprises colleagues: his algorithmic roots in computational biology continue to influence his approach to performance and parallelism in financial systems.

10 years of coding experience

9 years of employment as a software developer

Doctor of Philosophy (PhD) Bioinformatics, Doctor of Philosophy (PhD) Bioinformatics at Imperial College London

Merchant Taylors' School Crosby

English, French

Github Skills (8)

classification7

bioinformatics7

datasets6

data-catalog1

metadata1

metadata-management1

data-management1

datahub1

Programming languages (1)

Java

Github contributions (2)

aindj/k-SLAM

Sep 2015 - Nov 2018

Contributions:1 release, 9 commits, 1 PR in 3 years 2 months

ultra-fastalignmentultrabioinformaticsdatasets

G-Research/datahub

Apr 2022 - Apr 2022

A Metadata Platform for the Modern Data Stack

Contributions:1 review in 1 day

data-managementdata-stackmodern-data-stackmetadata-managementdata-catalog

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