In a recent conversation with Express Computer, Jyotiswarup Pai Raiturkar, Chief Technology Officer, Angel One, discusses his journey at the company and the transformative changes it has been undergoing through the adoption of AI, GenAI, big data analytics, and machine learning. Angel One’s new SuperApp represents a significant step forward, designed to enhance information discovery and provide personalised investment experiences. Clients receive relevant, timely content, including risk management tools, ensuring they can navigate financial products without encountering unexpected risks. Cybersecurity remains a key focus, with innovations like Zero Trust Authentication safeguarding user data across the platforms.
How do you see the current trends in the BFSI sector impacting financial technology and trading platforms?
The BFSI sector is undergoing transformative changes driven by the adoption of AI, generative AI, big data analytics, and cloud computing. AI and machine learning are revolutionising operational efficiency, enhancing fraud detection, and improving customer service. At Angel One, we have capitalised on these trends by leveraging AWS cloud computing, which has enhanced our scalability and ensured business continuity. Our SuperApp, backed by real-time portfolio insights and personalised investment journeys, has optimised customer experiences while reducing costs by 18%. Cybersecurity remains a key focus, with innovations like Zero Trust Authentication safeguarding user data across our platforms.
Can you discuss any specific technological innovations or integrations that have significantly improved operational efficiency or customer experience?
We have implemented a wide range of technological advancements aimed at improving both operational efficiency and customer experience. A key integration has been with TradingView, which has significantly elevated the user experience by offering advanced charting and market analysis tools. This integration allows traders to make more informed decisions, driving higher engagement and customer satisfaction. Additionally, by leveraging AWS cloud computing, we’ve reduced operational costs by 18%, provided real-time portfolio insights, and enhanced overall operational efficiency. Angel One’s SuperApp also offers personalised investment journeys and advanced features like multi-leg orders and live portfolio views, streamlining processes for our users and significantly enhancing customer satisfaction.
In what ways is Angel One using technology to improve customer engagement and satisfaction?
We prioritise customer engagement through AI-driven tools such as ARQ Prime, which offers portfolio insights and personalised recommendations that consistently outperform benchmarks. Our SuperApp features innovations like multi-leg orders, trailing stop-loss, and live portfolio views, which have significantly enhanced user engagement and satisfaction. Moreover, our AI and machine learning-powered portfolio analyser tools provide timely and relevant insights, helping customers make better investment decisions. Additionally, we leverage AI and machine learning to optimise customer interaction through features like recommendation algorithms and LLM-powered chatbots. These technologies enable us to deliver timely, relevant insights that help our users make better financial decisions.
How are you utilising big data and analytics to drive decision-making and strategic planning?
Big data and analytics play a crucial role in our decision-making and strategic planning. We’ve built a comprehensive data experimentation platform that allows us to gather data signals from our customers’ behaviour across their financial journeys. By setting up a strong data science talent pool, we are able to monitor and analyse this data, from discovery to post-trade funnels. This enables us to personalise customer experiences and drive data-driven strategic decisions that enhance both user satisfaction and operational efficiency.
Our new SuperApp is another step in this direction, designed to enhance information discovery and provide personalised investment journeys. Clients receive relevant, timely content, including risk guardrails, ensuring they can navigate financial products without undertaking risks they are unaware of. The tech innovation here ranges from crafting dynamic native experiences on mobile devices to creating customer cohorts and assigning journeys.
What measures are in place to ensure data accuracy, security, and privacy?
The security and reliability of our technological and digital innovations are paramount. We have established a robust infrastructure that includes private data centres for low-latency trading services and public clouds for other services. Our comprehensive security measures encompass encrypted data transmission, extensive firewalls, and real-time monitoring through Security Information and Event Management (SIEM) systems. For reliability, we work on multiple fronts—from precision engineering and fault injection tests to a disaster recovery architecture with boundless guarantees. We do regular drills to gauge our posture on both fronts. These measures are designed to protect user data, ensure continuous service availability, and maintain the trust and integrity of our platform.
What fintech innovations do you believe will most significantly impact the BFSI sector in the near future?
AI, machine learning, and cloud computing are seen as key drivers of innovation. Angel One is leveraging AI for personalised customer interactions and using machine learning to streamline operational processes, which in turn drives better financial outcomes for users. The focus on personalised, data-driven insights is expected to reshape the sector in the coming years.
We believe that AI, machine learning, and cloud technology will continue to drive significant change in the BFSI sector. We are particularly excited about the potential of AI in enhancing customer personalisation, fraud detection, and portfolio forecasting. AI-powered tools like ARQ Prime are already transforming how users interact with our platform, and we expect further developments in AI to lead to even more personalised and seamless financial experiences.