Jakob Aungiers

Quant at Atto Trading
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, UK

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Experience

    • United States
    • Capital Markets
    • 1 - 100 Employee
    • Quant
      • Dec 2022 - Present

      HFT modeling in US futures markets. Trading system and alpha model creation and implementation across a range of digital asset markets.

    • Cyprus
    • Capital Markets
    • 1 - 100 Employee
    • Senior Quant Trader & Head of East Asian Partnership
      • Feb 2020 - Nov 2022

      Create and manage HFT commodity futures models. Neural network based ML architecture. Expanded trading to new exchanges and managed end-to-end operations and trading partnerships in the region.

    • Quantitative Researcher
      • Jan 2019 - Feb 2020

      Development of passive ML strategy for commodity futures. Queue position modeling for alpha generation.

    • CTO & Co-Founder
      • Nov 2018 - Sep 2022

      HighSport is a unique event and athlete management platform for organizing professional sporting events and managing athlete talent across the globe. Full-stack development of the whole platform from zero-to-one. Built with a Python Django backend, React Javascript frontend and REST API layer in-between.

    • United Kingdom
    • Financial Services
    • 700 & Above Employee
    • VP of Quantitative Research Development
      • May 2015 - Aug 2017

      London, United Kingdom Head of quantitative research development and technology in the Global Investment Strategy team. Leading quantitative technology in the $80 Billion Multi-Asset Investment business. Streamlining the investment strategy process through development and implementation of systematic processes for quantitative models.

    • United Kingdom
    • Financial Services
    • 700 & Above Employee
    • Quantitative Developer
      • Aug 2013 - May 2015

      London, United Kingdom Quant Developer for Data Insights Team within Global Equities. Creation of analytical methods (using Machine Learning, Classical and Bayesian Statistics) to evaluate and derive meaning from large and abstract data sets for use within the equity investment space to support fund managers and research analysts in making investment decisions and reducing risk.

    • United States
    • Financial Services
    • 700 & Above Employee
    • Software Engineer
      • Jun 2012 - Sep 2012

      London, United Kingdom Software Engineer in the Market Aggregates Team, London. Research & Development using quantitative regression models to allow for the development of a machine learning estimations tool for calculating time taken to perform a set of aggregate calculations on a batch of indices.

Education

  • University of Southampton
    Master of Engineering (MEng), Computer Science
    2009 - 2013

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