Sathiya Sundarajan

Director, Systematic QIS Desk

San Francisco, California, United States
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Summary

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Senior
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Top School
Sathiya Sundarajan is a Director leading an AI-native Systematic QIS Desk in San Francisco, bringing 14 years of experience at the intersection of systematic macro, stochastic volatility, and computational finance. He builds research-to-execution stacks from the ground up—combining regime-aware signal generation, SVI/SSVI volatility modeling, and convex derivatives construction to isolate durable alpha across market regimes. Prior roles span technology leadership in healthcare and large-scale search and analytics platforms at Morgan Stanley, Lucidworks, Cisco, and others, reflecting deep expertise in production-grade data systems. He also co-founded a stealth NLP startup, giving him practical product and applied ML experience beyond pure quant research. Known for translating advanced stochastic frameworks into traded strategies, he blends quantitative rigor with software engineering discipline. Based in San Francisco, he pairs a Master’s from the University of Melbourne and an engineering background with a proven track record of shipping complex, high-throughput systems.
code14 years of coding experience
job16 years of employment as a software developer
bookB.E, Bachelor of Engineering, B.E, Bachelor of Engineering at University of Madras
bookThe University of Melbourne
languagesEnglish
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Stackoverflow

Stats
1,077reputation
81kreached
32answers
3questions
Badges
solr
top-5%
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Github Skills (14)

solr9
ordinal9
wikipedia8
lucene6
http6
edismax6
faceted-search6
solr-search6
data-import-handler6
spring6
solrj6
java6
ranking5
search-engine5

Programming languages (1)

Java

Github contributions (5)

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ausathya/Solr-Ranking-Plugin

Dec 2011 - Jan 2012

A Rank Component, that extends Solr Search component and uses the results returned by to compute the rank. Rank component internally depends on Solr's search & facet components. Second, Simple Rank Engine that implements various ranking strategies. Supported ranking strategies are Dense, Standard Competition, Modified Competition, Fractional & Ordinal. Good explanation of ranking strategies can be found at Wikipedia
Contributions:38 commits in 24 days
fractionalsolrsupportedmodifiedsearch-engine
ausathya/ausathya.github.io

Jan 2021 - Jan 2021

Contributions:20 pushes, 1 branch in 1 day
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Sathiya Sundarajan - Director, Systematic QIS Desk