Traydstream revolutionises Trade Finance by digitising and automating the trade documentation process

Founded 2016
51-200 employees
  • Banking, Corporate Finance, & Investing
  • Headquarters address
    St Magnus House, 3 Lower Thames St, London, EC3R 6HD
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    About Traydstream

    International trade is the core of the global economy. However it involves complex operational processes which often impede the provision of finance.

    Comprised of leading figures from the worlds of Trade Finance and corporate technology, Traydstream was founded in 2016 with the intent of reimagining paper-based and manual methods that underpin Trade Finance. Traydstream is an artificially intelligent, cloud-based, financial and regulation technology (FinTech / RegTech) platform that automates Trade Finance processing for banks and large corporates. Traydstream uses advanced proprietary Optical Character Recognition (OCR) and text data mining software to digitise trade documents before applying machine learning algorithms to scan and scrutinise the e-documents for compliance with international trading rules and regulations.

    Traydstream enables participants across the supply chain to optimise working capital, improve cost structure and operational efficiency, and better manage risk across physical and financial supply chains.

    The platform redefines and streamlines Trade Finance processing.

    Whom we are looking for:

    • If the thought of joining an ambitious Fintech team, and helping redesign the traditional approach taken in trade finance by banks and corporates excites you, we'd love to hear from you.
    • We're looking for candidates who combine big picture vision with granular focus, and who share our ambition of significantly improving the current outdated methods adopted within trade globally.

    What we offer:

    • Product-focused company
    • Working in collaboration with premier financial institutions and corporates
    • Global client responsibilities and opportunities
    • Working with cutting-edge and established technologies

    Tech stack

    Python, Java, Mongo DB, MS SQL Server, AWS Cloud