Jason Noorman is a technology executive and Chief Technology Officer (CTO) with experience in financial technology, telecommunications, insurance, electronic trading and digital assets. His work has included the development and leadership of institutional trading platforms, financial-market infrastructure, blockchain systems and technology transformation programs.
Noorman has worked with artificial intelligence (AI) and machine learning (ML) in financial-market applications, including quantitative trading, algorithmic strategy optimisation, market-regime classification and risk analysis. His technical experience includes machine-learning frameworks and tools such as CatBoost, XGBoost and TensorFlow.
Career
Jason Noorman has more than two decades of experience in technology leadership and software engineering. His professional background spans fintech, telecommunications and insurance, as well as financial-market technology.
He has served as Chief Technology Officer of Pepperstone, a financial services company specialising in foreign exchange and contracts for difference (CFDs). In this role, he was involved in technology strategy, business transformation and the development of systems supporting the company's operations.
His leadership experience includes large-scale technology and business transformation programmes and the management of distributed engineering organisations. He has led engineering teams of more than 300 people across multiple countries.
Technology and financial markets
Jason Noorman's professional focus includes the application of artificial intelligence and machine learning to financial markets. His work has covered supervised learning, gradient-boosting methods and deep learning for applications such as trading-signal generation, algorithmic strategy optimisation, market classification and risk scoring.
His technical interests also include quantitative finance, electronic and algorithmic trading, market microstructure, low-latency execution, real-time risk systems and financial-market infrastructure.
Artificial intelligence
Jason Noorman has worked on the use of generative AI and agentic AI in financial and enterprise technology environments. His work in this area includes large language model (LLM) analysis pipelines, autonomous decision-making agents, document intelligence and AI-assisted software tools integrated with financial workflows.
He has also been involved in machine-learning operations (MLOps), cloud-native architecture, site reliability engineering and the development of technology systems designed for high availability and operational resilience.
Blockchain and digital assets
Noorman's professional experience also includes blockchain technology, digital assets and decentralised finance (DeFi). His work in this field has included technology infrastructure and systems supporting digital-asset and financial-market applications.
He has also contributed articles and professional commentary concerning financial technology and digital assets.
Leadership
In addition to technical implementation, Noorman has worked at executive and board level on technology strategy and business transformation. His leadership approach has included aligning technology investments with business objectives, improving operational efficiency and developing technology platforms intended to support long-term business growth.
His areas of professional expertise include financial AI, quantitative finance, generative AI, algorithmic trading, exchange technology, blockchain infrastructure, cloud architecture, cybersecurity and technology leadership.
See also
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