Sayan Mazumder — Product Manager

I'm an experienced Algorithmic Trader and Quant Developer with a rich background in the US options market, cryptocurrency, and Indian financial markets, working end to end, from backtesting to live deployment. My passion lies in crafting sophisticated trading algorithms and conducting in-depth quantitative research to uncover unique market opportunities. I'm dedicated to employing detailed statistical analysis and advanced computational finance techniques to inform and enhance data-driven trading decisions. As a Quant Developer, I have developed and deployed algorithmic trading strategies based on patterns, using large language models (LLM). I contributed to the design, testing, and optimization of the strategies, as well as to the improvement of the data quality and the performance of the models. I also collaborated with other developers and researchers to share insights and best practices, and to solve complex problems. My passion for unravelling secrets in data through deep learning, stems from my academic background in artificial intelligence and robotics. I hold a Master of Science (MSc) in Artificial Intelligence with Robotics from the University of Hertfordshire, where I gained theoretical and practical knowledge of various AI techniques and applications, such as natural language processing, computer vision, and reinforcement learning. I also have a Bachelor of Technology (B.Tech) in Computer Science Engineering from the Sikkim Manipal Institute of Technology, where I honed my programming skills in Python and other languages. Additionally, I have earned multiple certifications in Python for Financial Analysis and Algorithmic Trading, and NLP - Natural Language Processing with Python, to further enhance my skills and knowledge in these domains. I am systematic, organized, and hardworking, always wanting to give my best in anything I do and to keep abreast of the developments in my field of work. I find it motivating and energizing to work in a team, and I value collaboration, communication, and feedback. I also have extensive and varied project experience, which demonstrates my out-of-the-box thinking and implementation skills. I have published a paper in the International Journal of Computer Applications (IJCA) on a project that aims to transfer the responsibilities of conducting the entire “ELECTION VOTING” procedure to computing machines, using a concept of “RANDOM PARTY CODE” to enhance the integrity of the system. I am eager to learn more and to apply my skills and knowledge to create value and impact in the modern technology sector.

Stackforce AI infers this person is a Fintech expert specializing in algorithmic trading and quantitative analysis.

Experience: 3 yrs 9 mos