Dimosthenis Pediaditakis
Quantitative Researcher
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolDimosthenis Pediaditakis is a quantitative researcher with 19 years of experience building production-grade systematic trading systems, research platforms and distributed valuation engines for equities and derivatives. He combines deep Python systems expertise (NumPy/Pandas, zero-copy in-memory layouts, Cython/pybind11) with a background in high-performance, concurrent C++ and JVM tech to deliver low-latency, scalable analytics and stream-driven workflows. His work spans end-to-end intraday and extraday mid-frequency businesses, back-testing infrastructure, time-series datastores and performance tuning across compute stacks. At Man Group he contributed performance and concurrency fixes to the widely used arctic time-series datastore, and he’s led quantitative development teams to productionise statarb strategies. Unusually for a quant, his early academic research produced scalable datacenter emulation tools and energy-aware workload placement, giving him a strong systems research pedigree that informs robust, reproducible production design. Based in London, he blends research-at-scale instincts with hands-on engineering to bridge strategy and implementation.
19 years of coding experience
13 years of employment as a software developer
MSc Computer Science, MSc Computer Science at Athens University of Economics and BusinessDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Imperial College London
Github Skills (13)
databases10
database-administration10
admin10
mongodb10
python10
mongodb-database10
database10
thread9
multithreading9
hyper-threading9
time-series9
threaded9
unit-testing8
Programming languages (6)
Github contributions (5)
man-group/arctic
Mar 2017 - Dec 2018
High performance datastore for time series and tick data
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:144 commits, 61 PRs, 52 pushes in 1 year 8 months
Contributions summary:Dimosthenis primarily focused on optimizing the authentication process and improving the performance of the `arctic` datastore. They addressed concurrency issues related to authentication by implementing thread-safe methods and adding an `arctic_reset` method to force reconnect/re-auth. Furthermore, the user enhanced the data integrity of the system with the implementation of forward pointers. The user also added unit tests to validate the performance and the correct functioning of the code.
pythonticktickstoretick-dataarctic
dimosped/myConfig
Jul 2015 - Jul 2023
Contributions:12 pushes, 1 branch in 8 years 1 month
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