{"id":8380,"date":"2025-04-02T13:20:28","date_gmt":"2025-04-02T13:20:28","guid":{"rendered":"https:\/\/devexperts.com\/blog\/?p=8380"},"modified":"2025-11-11T09:41:44","modified_gmt":"2025-11-11T09:41:44","slug":"jon-light-on-ai-for-brokers-in-the-mena-region","status":"publish","type":"post","link":"https:\/\/devexperts.com\/blog\/jon-light-on-ai-for-brokers-in-the-mena-region\/","title":{"rendered":"Jon Light on AI for Brokers in the MENA Region"},"content":{"rendered":"\n
<\/picture><\/figure><\/div>\n\n\n\n

At iFX Dubai 2025<\/a>, Jon Light, Head of OTC Products at Devexperts, shared insights on the future of AI-driven brokerage solutions in the MENA region. <\/p>\n\n\n\n

From trader support and localization to risk management and sensible AI adoption, he shared his perspective on where AI is heading and how MENA brokers should be thinking about it.<\/p>\n\n\n\n

Impact on trader customer support<\/h2>\n\n\n\n

As a live dev company with over 800 developers, Devexperts has housed an internal AI and machine learning division long before it became the widely recognized term it is today. <\/p>\n\n\n\n

One of the key areas Devexperts has focused on is using advanced AI chatbots<\/a> to improve broker-trader interactions and efficiency. The need for fast, round-the-clock support is particularly important in the MENA region.<\/p>\n\n\n\n

\u201cIt\u2019s a no-nonsense market in the MENA region. You need to respond quickly and make the experience authentic,\u201d Jon explained. <\/em><\/p>\n\n\n\n

\u201cWith AI chatbots, brokers can analyze trader behavior and provide support 24\/7, without needing someone behind the scenes at all times.\u201d<\/em><\/p>\n\n\n\n

When Devexperts implements chatbot solutions, they don\u2019t operate in isolation. They pull in existing broker data to train the AI and make it an expert on the firm to maximize its capabilities. <\/p>\n\n\n\n

\u201cWe feed in data from broker websites, FAQs, past support tickets, CRM records\u2014anything the broker wants to include. Once trained, our chatbots can handle around 70% of trader queries. <\/em><\/p>\n\n\n\n

They also understand trader accounts, their open positions, their past orders, so support teams can focus their attention on the complex cases.\u201d<\/em><\/p>\n\n\n\n

AI has now advanced past a tool for answering questions, with the ability to help traders make more profitable and risk-averse decisions while increasing engagement<\/a>. <\/p>\n\n\n\n

Localization and multilingual support<\/h2>\n\n\n\n

The MENA region is one of the most linguistically diverse in the world, making localization both a challenge and an opportunity for brokers. <\/p>\n\n\n\n

AI-powered Natural Language Understanding (NLU) technology makes it possible to serve traders in their preferred language. <\/p>\n\n\n\n

\u201cIn the UAE alone, you\u2019ve got people speaking almost every language you can think of. AI can detect a trader\u2019s language automatically, and is currently working to recognize and adapt to dialects\u201d. <\/em><\/p>\n\n\n\n

In addition to automated language detection and translation, AI allows brokers to tailor interactions to cultural preferences. <\/p>\n\n\n\n

Trader communication styles vary, some prefer formal language, others a more casual approach. Culturally appropriate communication is also important. AI can recognize these nuances and adjust its responses accordingly.<\/p>\n\n\n\n

Risk management and B-book operations<\/h2>\n\n\n\n

Jon discussed three key areas where AI is having an impact. <\/p>\n\n\n\n

Making B-book risk management dynamic<\/h3>\n\n\n\n
    \n
  1. <\/li>\n<\/ol>\n\n\n\n

    Traditionally, brokers manually adjust their B-book settings, grouping traders and instruments into A-book and B-book categories.<\/p>\n\n\n\n

    \u201cHistorically, you might change your B-book setup a couple of times a day based on market conditions and trader activity. But AI can make this dynamic, adjusting orders just before\/as they come in,\u201d <\/em>Jon explained.<\/p>\n\n\n\n

     \u201cAI also takes into account broker positions, trader positions, orders in the OMS, market volatility, and risk appetite, allowing for more efficient flow management.\u201d<\/em><\/p>\n\n\n\n

    The outcome is that B-book risk management is no longer just a static model, adapting to market conditions and broader risk parameters. <\/p>\n\n\n\n

    \u201cHaving this dynamic way of managing your B-book can really optimize the flow. This is one area that Devexperts is looking at.\u201d<\/em><\/p>\n\n\n\n

    Flagging manipulation and bad actors<\/h3>\n\n\n\n
      \n
    1. <\/li>\n<\/ol>\n\n\n\n

      AI is also helping brokers identify bad actors. AI can spot these patterns early and alert brokers before they become a problem.<\/p>\n\n\n\n

      \u201cAI can help flag traders trying to manipulate the platform, by exploiting execution delays, and engaging other problematic behaviors,\u201d said Jon. <\/em><\/p>\n\n\n\n

      Managing risk in prop and funded trader firms<\/h3>\n\n\n\n
        \n
      1. <\/li>\n<\/ol>\n\n\n\n

        Similarly, in challenges, AI will now help identify truly skilled traders using challenge accounts. <\/p>\n\n\n\n

        \u201cWe see traders buying two separate challenges and placing opposite trades to rig the system, doing whatever they can to get through. With AI, we can analyze their trading behavior early on.<\/em><\/p>\n\n\n\n

        The best traders don\u2019t dive into the most volatile markets. They tend to stick to a small number of instruments they understand well. AI can analyze those behaviors and help firms filter out traders who are just taking advantage of the system,\u201d said Jon. <\/em><\/p>\n\n\n\n

        With more data analysis on trader behavior, firms will be able to use AI to assess traders that are genuinely skilled and worth bringing into a funded trading program. <\/p>\n\n\n\n

        Once traders move into a funded program, AI continues to monitor their risk profile.<\/p>\n\n\n\n

        \u201cSome traders who shouldn\u2019t have passed will go all-in on volatile markets, aiming for a big payout. AI tracks that behavior and feeds it back into risk management systems.\u201d<\/em><\/p>\n\n\n\n

        Advice for smaller brokers in the MENA region adopting AI<\/h2>\n\n\n\n

        While large brokers have the flexibility to experiment, smaller firms need to be more strategic about how they integrate AI.<\/p>\n\n\n\n

        \u201cBig firms have big budgets, big teams. They can afford to make mistakes. If you\u2019re a smaller broker, you need to be careful about what you invest in. A lot of what\u2019s being marketed as AI isn\u2019t always AI,\u201d <\/em>Jon cautioned. <\/p>\n\n\n\n

        \u201cStart with a real problem and find the right AI solution for it. Don\u2019t create a problem just because you think you need AI.\u201d<\/em><\/p>\n\n\n\n

        Smart AI adoption should always be about minimizing risk, reducing costs, and increasing revenue.<\/p>\n\n\n\n

        \u201cA tool must be helping you achieve one of those three things. Really do your research\u201d<\/em>.<\/p>\n\n\n\n

        Bringing algo trading to more traders with AI<\/h2>\n\n\n\n

        As the phrase goes, \u2018the coding language of the future is natural language\u2019. This will now start to have a wider impact on algo trading accessibility. <\/p>\n\n\n\n

        \u201cBefore, if you wanted to build a trading algorithm, you needed coding skills. Now, you can just describe your risk appetite, the types of things you want to trade, your strategies, and AI can generate the script for you. That\u2019s something we\u2019re actively working on at Devexperts,\u201d <\/em>shared Jon.  <\/p>\n\n\n\n

        Next steps<\/h2>\n\n\n\n

        Rather than a single big leap forward, we will keep refining current AI models.  <\/p>\n\n\n\n

        \u201cWe\u2019re still early: chatbots, localization, all of it will be a continuous evolution. <\/em><\/p>\n\n\n\n

        The most important thing brokers can do right now is collect data. We need to plan ahead to make sure we have the right frameworks and the right data available for when we need it\u201d, concluded Jon. <\/em><\/p>\n\n\n\n

        Whether it’s improving trader support, managing risk, or optimizing B-book strategies, the key is to identify and focus on AI solutions that solve real<\/em> business challenges that your firm has. Don\u2019t get lost in the hype and AI-coined tools flooding the market. <\/p>\n\n\n\n

        Contact us<\/h2>\n\n\n\n

        To learn more about how Devexperts can help integrate AI-driven solutions into your brokerage, get in touch with us today<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

        Jon Light, Head of OTC Products at Devexperts, shares insights on the future of AI in the MENA region. Learn about the emerging opportunities and challenges. <\/p>\n","protected":false},"author":39,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2021],"tags":[65,2027,11,62],"class_list":["post-8380","post","type-post","status-publish","format-standard","hentry","category-brokerage","tag-ai","tag-brokerage","tag-financial-software","tag-technology"],"acf":{"nifty_post_card_image":8389,"nifty_post_card_index_big":8396,"nifty_post_inner_image":8391,"nifty_post_card_banner":""},"yoast_head":"\nJon Light on AI for Brokers in the MENA Region - Devexperts Blog<\/title>\n<meta name=\"description\" content=\"Jon Light, Head of OTC Products at Devexperts, shares insights on the future of AI in the MENA region. 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