Shyam was previously at Morgan Stanley for over 20 years where he led many transformational technology initiatives in various leadership capacities in New York, London and Mumbai. At various points in his long career at Morgan Stanley, he was the global head of program trading technology, exchange connectivity and algorithmic trading risk controls. He is a proven thought leader and innovator, creating many high-performance teams in fast paced environments. Shyam is a domain expert in algorithmic trading and analytics across equity and fixed incomes asset classes, trading systems, quantitative finance, high frequency trading, regulatory controls and risk management, machine learning and deep learning techniques as well as its application in finance.
Shyam holds a Bachelors in Engineering (CS) from Bharathiar University, India, Masters in Computer Science from University of South Carolina, Columbia, Masters in Business Administration (Finance) from Wharton School, University of Pennsylvania and Certificate in Quantitative Finance (CQF) from the CQF Institute.
Sudeep Amin is the Chief Data Officer for Quantel AI. He is a seasoned Data and Analytics specialist with expertise in Information Management, Data Architecture, Data modeling, Data Governance, Data Quality, Business Intelligence and Cloud Architecture. Sudeep has extensive experience working on multiple challenges solving key business problems by introducing the right technologies to provide holistic Business Intelligence solutions right from Data Acquisition to Data Visualization. Sudeep is an expert in solving business challenges around data with the ability to comprehend the business domain and prescribing solutions which may leverage existing or new technologies. Sudeep is certified on AWS and is responsible for Quantel AI’s cloud strategy and design of our cloud architecture. Before joining Quantel AI Sudeep Amin was an Executive Director at Morgan Stanley where he worked for over 21 years and managed and delivered multiple data-driven solutions to facilitate effective organizational management via innovative data platforms, insightful analytics solutions, right technology choices and creative solutions.
Richard Conner is a Business Development Manager for Quantel AI. Richard is responsible for marketing programs, brand management, and corporate engagements. Prior to joining Quantel AI, Richard began his career as a consultant with DXC Technology advising clients on Financial Technology Solutions. During Richard’s time with DXC he was a key player in advising General Dynamic: Electric Boat’s transition from the Mainframe to Cloud Based Servers.
After leaving DXC Richard has helped to lead multiple startups through their infancy stages and helped them to create successful Marketing & Business Development Strategies.Richard Holds a Bachelors’ of Science in Finance from Eastern Connecticut State University.
Andrew Qiao is a Quantitative analyst at Quantel AI and he is mainly focusing on using deep learning and reinforcement learning methods on asset prediction and portfolio construction. Andrew has prior experience working with Multi-Factor Portfolio Construction, Block Order Execution using Reinforcement Leaning as well as Derivatives Pricing at Generali China Asset Management co. and China Securities. Andrew completed his Masters in Financial Engineering from Stevens Institute of Technology and Bachelor’s degree in Financial Engineering from Southwestern University of Finance and Economics in Chengdu, China.
Raymond M. Tierney III is based in New York and formerly oversaw Bloomberg’s agency broker, Bloomberg Tradebook LLC. and all aspects of Bloomberg’s sell-side equity and order management solutions (SSEOMS), including product innovation, new product sales and business strategy through Q1 2017. In 2016, Mr.Tierney led Institutional Investors annual Trading Technology 40 ranking, coming in at #1 on the list, recognizing his achievements leading global teams to advance trading technology at Bloomberg. In March of 2017,he was awarded the Ken Heath award, by the Securities Trader Association, recognizing him for his notable contributions to the advancement of women in finance.
Dr. Nandan Sudarsanam is a technical advisor for Quantel AI. He has domain expertise in the areas of finance, demographic and experimental data (across different engineering disciplines). Dr. Nandan is currently an Associate Professor at the Department of Management Studies at the Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI) at IIT Madras. The primary area of research for Nandan is in experimentation and machine learning, with a specific focus on algorithmic approaches in these fields.
During his PhD from MIT, he created new algorithms for experimentation, as well as the creation of meta-models from data which could be used to simulate the performance of various experimental algorithms. He has applied his techniques to various industries including commercial banking (Bank of America - Boston), automotive (Ford Motor Company - Detroit), manufacturing (Brakes India - Chennai), and over the last five years in high-frequency algorithmic trading (with Rackson Asset Management - New York). During his stint as the Head of research at Rackson Asset Management, he worked on large data sets and data analytic techniques which lead to highly profitable trading strategies.