Roles

Data

Compensation Summary

USD 1 trillion turnover a year; ~100TB of relational internal data now, PB-scale external sources later; Redshift, PostgreSQL, Tableau, legacy Python but open to Haskell/Mercury/Idris on Nix, Rust, Zio, Kotlin, OCaml for new projects.

Locations

CA, SG, Remote

Description

Spend the morning supporting users then handover to the next time zone. Afternoon is for undisturbed R&D, where I expect most of your (replicable) experiments to fail. Ongoing experiments include alpha capture systems, generating implied vol history or 20x lossless compression through normalisation.

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