The breadth and depth of data available for financial research is growing at a rapid pace. What used to be daily price and volume data sets has now grown to become order by order streaming data feeds, unstructured social media data, even geospatial imagery. Data issues like tracking assets through time sound like simple problems but are actually quite difficult challenges.
Even with large and well-known data vendors, financial organizations often find themselves straddled with significant data quality issues. As Baron K. Davis, CEO, Code Willing asserts, “Rather than using a large player that taps into multiple verticals, we think it’s better to hire a firm that understands the data specific to the finance industry. This goes a long way in processing financial data quickly and efficiently.” Code Willing, a financial technology startup, converts this idea into actionable insights for its clients. In addition, Code Willing provides data pipeline and management services to the financial industry.
We are familiar with a broad set of financial data sets, and that experience helps us quickly onboard new data from new, emerging data vendors. We understand difficult data issues facing our clients such as data quality and provide them with appropriate data management services at an affordable price,” states Davis.
Code Willing is working with the academic sector to advance research in the field of Quantitative Finance.
Quantbot Technologies LP, a global quantitative hedge fund and Code Willing client, is constantly looking for new research opportunities and partnerships but is often restricted due to the highly proprietary nature of their work. With Code Willing managing the Quantbot data and cloud infrastructure, it enables Quantbot to engage external research teams via consulting arrangements. Through the use of the Code Willing technology suite, Quantbot can provide tightly controlled access to clean data and the virtually unlimited resources of cloud computing infrastructure.
Recently, Quantbot worked with several student groups participating in a month-long MIT Sloan 2019 Finance Research Practicum course. The students performed real research for Quantbot in a secure environment running on Amazon AWS with strictly controlled access to the clean datasets they needed.
Without the Code Willing platform there’s really no way we would have been able to host these projects. Now we have the ability to run almost limitless amounts of additional research projects with no risk of impact to our internal systems.”