SS

Sivesh Sukumar

Principal at Balderton Capital

Greater London, England

Invests in

Stages:

Locations:

  • Min Investment:

    $1,000,000.00
  • Max Investment:

    $20,000,000.00
  • Target Investment:

    $10,500,000.00

Work Experience

  • Principal

    2025

    Covering AI across Europe Seed-Series C+ Playing a small part in: Writer from Series B Convergence from Seed, Board Observer (Acq. by Salesforce) Deepset from Series A Lawhive from Series A Prior Labs from Seed

  • Associate

    2023 - 2025

  • Analyst

    2022 - 2023

2020 - 2022

  • Analyst

    2020 - 2022

    FinTech Innovation and Investments, SPG (Structured Finance)

2018 - 2020

  • Co-Founder

    2018 - 2020

    Built a range of ventures through university, some highlights: - Nanovert.co.uk - An exchange for instagram stories. Within months we had thousands of students active as price takers alongside multinational brands such as Wagamama, Pho and Black Sheep Coffee as price makers. Unfortunately all our customers closed in Covid and I went to work for a bank - Ecotrash.co.uk - Transformed a 200 year old tradition and reduced the impact of the tradition on the surrounding environment. Grew the business to 5 figures of annual sales within months of launching ...

  • Research

    2019 - 2020

    Developing and testing systematic trading strategies using LSTM networks and modern portfolio theory

2019 - 2019

  • Summer Analyst

    2019 - 2019

    Trading - (Equities Exotics, Rates Options and Credit Trading)

2018 - 2018

  • Business Development

    2018 - 2018

    (Acquired by abrdn) Building a platform to allow anyone to be their own financial advisor. Rapidly growing company with 1m+ users. Designed and lead multiple growth hacking strategies.

2017 - 2017

  • Software Engineer

    2017 - 2017

    Experts in computer vision and machine learning technologies, providing an intelligent camera solution to monitor and predict pedestrian and vehicle movements in public spaces. Projects included developing an algorithm to detect emergency vehicles using a live audio-feed. 8 week internship