Roman Akulshin is a seasoned Quantitative Researcher at SPQx, where he spearheads the firm’s artificial intelligence initiatives, leveraging his extensive background in technology and investment management. With a strong focus on artificial intelligence, deep learning, and machine learning, Roman is at the forefront of developing...
Roman Akulshin is a seasoned Quantitative Researcher at SPQx, where he spearheads the firm’s artificial intelligence initiatives, leveraging his extensive background in technology and investment management. With a strong focus on artificial intelligence, deep learning, and machine learning, Roman is at the forefront of developing innovative solutions that enhance investment strategies and market analysis. His expertise in large language models and natural language processing enables him to dissect complex datasets, such as government regulations, SEC filings, and macroeconomic indicators, to uncover actionable insights that drive long/short investment opportunities.
Currently, Roman is leading a groundbreaking project that utilizes Monte Carlo simulations powered by transformer models and time series embeddings to price options more accurately. This cutting-edge approach not only improves the precision of pricing models but also enhances risk management strategies within the firm. His work in forecasting and time series analysis is pivotal in identifying market trends and informing investment theses, allowing SPQx to stay ahead in a rapidly evolving financial landscape.
In addition to his technical prowess in data science and engineering, Roman's skills in due diligence, capital markets, and mergers & acquisitions further bolster his contributions to SPQx. His proficiency with TensorFlow and neural networks facilitates the development of robust predictive models that integrate sensor fusion techniques for enhanced decision-making. As Roman continues to push the boundaries of quantitative research, his commitment to harnessing the power of AI and machine learning positions SPQx as a leader in the financial technology space.
