Chief Revenue Officer
Adrian Gostick is Chief Revenue Officer for BondIT, with global responsibility for BondIT sales, business development, marketing, and strategic partnerships. Adrian has over 27 years’ experience working in financial markets across Europe, Asia and the U.S.
Prior to joining BondIT Adrian spent twelve years in a variety of leadership roles in Thomson Reuters, most recently as Managing Director, China, for the Financial & Risk business. Between 2002 and 2004 Adrian worked in a portfolio and risk management software company in France, and before that spent 11 years as a bond trader for Japanese securities companies in London and Tokyo.
Adrian has a degree in Geology from the University of Bristol, and an MBA from EDHEC in France.
Hillel is a co-founder of BondIT and holds the position of Chief Scientist. He holds a Ph.D. in mathematical physics from the University of California, Davis. His thesis required solving multi body problems in statistical mechanics, both in classical and quantum frameworks.
Hillel was a postdoctoral fellow at Cardiff University, Wales and a visiting postdoctoral fellow at the Weizmann Institute. His well published paper dealt with graph theory, in both quantum and classical graphs, and explains the way a particular operator behaves in various conditions.
As the Tech Co-founder, he is responsible for many of the proprietary and original algorithms used in BondIT that sets the formulations of the solution for portfolio construction and rebalancing.
Enterprise Data Scientist
Radha works as an Enterprise Data Scientist at Thomson Reuters. His work involves applying machine learning and quantitative financial modeling techniques to large datasets in order to solve specific problems in the financial and risk domain. Prior to Reuters, he has worked as a portfolio manager at Goldman Sachs Asset Management. He has more than a decade of experience in building financial and statistical models.
Head Data Science for Big Data Analytics Center of Excellence
Johnson is currently Head Data Science for Big Data Analytics at DBS Bank where he drives the development of core data science capabilities for enhancing decision analysis. He holds an adjunct faculty appointment at SMU School of Information Systems and his focus areas include applied statistical computing, machine learning as well as big data tools and techniques. He was formerly Chief Data Scientist, ASEAN at Booz Allen Hamilton as well as Head Data Science/ Principal Data Scientist at the Ministry of Defence, Singapore.
An avid programmer and data enthusiast, Johnson enjoys developing apps and data products. Most recently, he was awarded first prize in Singapore’s largest coding competition, Smart Nation [email protected] 2015 as well as the CapitaLand Data Challenge 2016.
Johnson completed his bachelor’s degree at University of California, Berkeley, majoring in the subjects of Pure Mathematics, Statistics and Economics. He received his postgraduate degree in Statistics at Yale University.
Chief Executive Officer
Aaron is CEO of Catena Technologies, a solutions company that helps financial institutions improve their business capabilities using cutting-edge technologies. Aaron has twenty-three years of technology experience in cross-asset trading, clearing, risk management, accounting, and compliance. His career has spanned across the U.S., Canada, the Middle East, and throughout Asia Pacific, and he has managed projects for such clients as JPMorgan Chase, HSBC, Citibank, Morgan Stanley, HKMA, and SGX. Aaron received his B.S. from Stanford University in Artificial Intelligence, as well as an MBA from the USC Marshall School of Business. Aaron is a frequent lecturer for Singapore Management University's Master of IT in Financial Services program.
In his current role, Aaron has led the development of Catena TRACE Reporting, a solution that automates financial institutions' workflow for regulatory reporting, as well as TRACE Analytics, a system that consolidates trade data to provide a wide range of descriptive and predictive analytics.
Innovation Analyst at Applied Innovation and Strategic Investments
Aditya Mehta is an Innovation Analyst at HSBC. Working in the Applied Innovation and Strategic Investments team, he is designing and delivering artificial intelligence based solutions for various businesses of the bank. He started programming at a very early age, becoming an Oracle Certified Java Developer at just age 13.
His passion for Data Science and Analytics led his to become part of the Applied Innovation team at HSBC as part of the FinTech Career Accelerator Program 2.0 by the Hong Kong Monetary Authority and ASTRI, where he is one of the youngest members of the team. He is concurrently pursuing his double degree in Computer Science and Finance from the University of Hong Kong.
Head of Conversational AI (Banking) Innovation; Artificial Intelligence Experimental Lead RBWM
Raul Abreu currently leads HSBC Innovation team development efforts in the field of Artificial Intelligence/Machine Learning, with a strong focus on building the next generation of conversational banking for HSBC. He has previously held various international positions in technology, product and business development for Silicon Valley and European technology startups and MNCs across multiple continents in the areas of AI/ML, Big Data, Cloud Computing and Mobile. In a previous life, he also worked as an Astrophysicist for the European Space Agency (ESA) on the Planck Space Observatory mission designed to observe anisotropies of the cosmic microwave background (CMB) to unlock the secrets of the origin of the universe.