Technology | Quantitative | Research | Rivermap

RIVERMAP

Integrating research and analytics

into investment process

About Us

Rivermap is a Fintech company providing investment technology solutions for financial institutions.

We help clients integrate research analytics into their investment process so as to enhance their financial product launch.

Rivermap specializes in:

quantitative investment research
machine learning application
investment analytical platform development
data infrastructure development

We are a Hong Kong Cyberport Incubatee.

Our Vision

Our vision is to become a world-class Hong Kong-based investment technology company

Our Mission

Our mission is to help our clients integrating research and analytics into their investment process

Management

Eddie Pong is the founder of Rivermap Quantitative Research.

Eddie has a strong dedication to quantitative investment throughout his career. He has a proven track record in investment analytics and software development.

Prior to founding Rivermap, Eddie was the Head of Asia Pacific Research at FTSE Russell at which he oversees the research and analytics function in the Asia Pacific region. Previously Eddie was the Head of Research in the Engineered Investment Strategies Group at ING Investment Management. Eddie spent early years of his career in London where he worked as an investment manager in the Multi-Strategy team at Amundi Asset Management.

Eddie graduated from the University of Hong Kong majoring in Accounting and Finance, obtained the MSc in Finance and PhD in Finance from Lancaster University, UK.

Our Services

We have proven track record in investment analytics and software development. We serve our clients with both our core technologies and customization capabilities. We have deep understanding of the needs of financial institutions in the Asia Pacific region.

Investment Strategy Research

We perform investment research for clients using investment science and data science. We build investment models for the equity, fixed income, index and multi-asset classes.

Data Infrastructure Development

We help our clients to develop data infrastructure tailored for their investment research and portfolio management needs. We help our clients to build the connection of the data to their investment and research process.

Analytical Platform Development

We help our clients to develop portfolio analytics platform to enhance their investment process. The analytical tools perform stock return forecasts, factor research, performance attribution and risk analysis.

Risk Modelling

We develop advanced risk model to manage portfolio risks for our clients. We emphasis strongly on the application of econometrics theories and machine learning techniques to forecast risks.

Machine Learning Research

We make use of advanced machine learning techniques including deep learning, neural network and decision trees to solve investment problems for clients. Areas include stock return forecasts, stock classifications, sentiment analysis and news analysis.