Gary Wong

Senior Advisor to financial institutions, fintechs and investors Artificial Intelligence and Machine Learning Expert with deep domain expertise on Trading and Risks (prior as head of quant trading)

London Area, United Kingdom

About

Experienced FinTech partner focusing on AI/ML, Big Data and cutting-edge technologies for Trading and Risk Management. Background as a successful Quant Trader means a deep understanding on the interplay of data, information, technology and trading/risks. Currently a senior advisor for C-level and Global Heads for major banks and funds on AI/ML applications, while directing business and product developments for multiple AI/ML and fintech firms: - Advisor to major banks on AI/ML and cutting-edge technology projects - Advisor to a network of VCs and Family Offices in NYC for investment opportunities - Advisor to award-winning fintech firms (Riskfuel.com and Global-Valuation.com) Prior career as a MD Head of Structured Trading at Mitsubishi Securities, where I built up multiple teams and increased P&L by 500%. My responsibility included Trading, Quants, FO Risk and FO Infrastructure; with frequent interactions working alongside Product Control/Valuations, Finance, Risks, Operations, Legal and Compliance.

Experience

  • Senior Advisor at Bank of England
    Jan 2026 - Present · 6 mos

    Provide strategic advice and independent challenge to the Bank of England and the Prudential Regulation Authority (PRA) across a wide spectrum of supervisory topics on trading, model and operational risks, data and infrastructure issues, new and cutting-edge technologies including AI/ML and 'hard-core' tech, on NBFI including PE/VC/Private Credits. Actively engaged in data and technology governance issues, as well as board-level governance and effectiveness reviews.

  • FinTech partner and AI/ML expert for Trading and Risks at Artemis AG Ltd
    Jan 2011 - Present · 15 yrs 6 mos

    Artificial Intelligence and Machine Learning expert working with investment banks and funds to update technology and gain massive competitive advantage. Deep financial domain expertise in practical application of technologies to grow P&L and minimize risk. Providing strategic and project advice/support on implementation of practical applications of AI, ML and other new technologies in trading, quant modelling and risk management in major global banks and fintech firms, including: • Deep Neural Net – volatility analysis and 1M+ times computation speedup • Natural Language Processing – nowcasting for trading and risk • Graph Computing – monitor and resolve data issues and complex processes • Graph Analytics – rapid identification of contagion and secondary impact • NoCode/LowCode – streamlining operations and simplifying software improvements Background as a Head Trader, Managing Director and Head of Structured Trading for a large global bank. A versatile and experienced leader of highly-technical teams that, with very detail-oriented execution, “move the needle” to make technology upgrades exceed expectations Clients include major global banks and Fintech firms in North America, EMEA and APAC

  • Advisor at KFG - Knickerbocker Financial Group
    Aug 2023 - Present · 2 yrs 11 mos

  • Partner at Global Valuation Ltd
    Oct 2011 - Present · 14 yrs 9 mos

    In the Global Valuation arena, developed and am offering the Esther Platform, a Portfolio Risk Platform designed to address some of the most complex challenges in Financial Services. The platform is particularly suited to being a platform for Model Risk, for continual testing and monitoring of models needing massive calculations

  • Head Trader and Managing Director, Head of Structured Trading at MUFG
    1996 - 2010 · 14 yrs

    • Advanced from Quant Trader to Senior Managing Director, responsible for the P&L • Overhauled the trading desk, generating a 5-fold increase in business volume and profit – ran the most profitable trading desk in the bank for many years • Actively managed 4 groups: Trading, Risk, Quants/Strats, IT and Infrastructure • Troubleshot relevant issues in Ops, Product Control, Risk and Infrastructure