On average fund managers spend more than 2 times the vendor subscription costs turning raw vendor data from the likes of Refinitiv or Factset into clean, investment-ready data. This is due to the complexity, variety and volume of vendor datasets. Complexity typically arises from many sources, such as symbology; the unique features of each vendor datasets; combining datasets into useful financial ratios & signals without falling into the many pitfalls; the extensive quality assurance to guarantee readiness for investment use.
With decades of experience in dealing with this complexity, Quant Machina has developed a globally scalable analytics & data management SaaS platform for equity fund managers. Both quantitative and fundamental managers significantly benefit from the platforms ability to quickly bridge the gap between raw data feeds from data vendors and having clean, usable data, with considerable time and money savings both at setup and ongoing costs.
In addition to getting vendor datasets to the point of being investment ready, Quant Machina is able to significantly enrichen and add value with AI-powered signals and solutions, along with a suite of tools in Beta for back testing, portfolio management, execution and reconciliation. Additionally Quant Machina can consult on bespoke projects, including the ability to apply machine learning to new datasets, and artificial intelligence to automate processes.
|Significantly Cheaper than Doing It Yourself||Significantly Quicker to Market / Implementation|
|66% reduction in direct costs, including reduction in personnel required to maintain codebase||80% quicker to market (3 months vs 18 months), which also means less fund manager capital burn through, more time to establish track record / less opportunity cost|
|Constant improvements outsourced to the experts||Multi-vendor data integration|
|Outsource to experts with deep domain knowledge, with constant updates as vendor delivery improves or changes, and quality assurance and notifications||Integration across multiple vendors with differing symbology (requires sedol license), as well as third party data or software platforms (eg Calibre)|
|Bolt-on Data Modules for non standard datasets||Bolt-on Value-Add Analytics and AI-powered Modules|
|Value add on data modules to integrate non-standard datasets (eg Refinitiv's StreetEvents or Factset EcoRev), straight out of the box||Value add on analytic modules such as multi-factor modeller, event study, factor backtester, and portfolio analytics (straight out of the box)|
Quant Machina's SaaS platform provides fund managers with easy-to-use data integration and analytics platform that significantly reduces both setup and maintenance cost to investment implementation in both time and money, and extracts significant extra value from vendor datasets, and provides beyond vendor-data tools to extra further value from internal investment workflows.
The founders have combined 40+ years experience as Global Equity Brokers/Fund Managers and Developers, with deep knowledge of how correctly handling complex & disparate financial datasets and issues such as market data, fundamental data (accounts), analyst data, symbology, universes, factor calculation (eg quant signal as well as fundamental financial ratios) as well as workflow quality assurance.
Prior to a stint in a number of startups, Richard had spent 20+ years as an quantitative investor/data scientist, specialising in the application of machine learning techniques to managing investments in global capital markets (listed equities). Started career on the sell side at top names such as JPMorgan and Macquarie, then broadened to funds management and hedge funds. At Schroders, was in a team managing more than 40 billion USD, where Richard specialised in deep dive industry specific research (embedding fundamental based investment principles into quantitative investment processes).
Richard is also a co-founder of an Australian venture capital firm investing in Australia technologies linked to Artificial Intelligence.
Connah is co-founder and Chief Technology Office of CodeSource, a leading Australian software development agency, specialising in financial services solutions and function rich web platforms.
Connah is widely regarded as one of Asia Pacific’s leading technology experts within financials services, specialising in the design and implementation of data analytics platforms. With more than 25 years experience within the sector, Connah has built analytics and trading platforms for numerous institutions including Macquarie bank’s global equities division as well as a number of Australia’s most successful hedge and quantitative fund managers.
Connah is the CTO of Quant Machina and it represents the 5th generation of quantitative platform he has designed, built and implemented. More than $10 billion of assets are managed on systems Connah has designed and built.