Quantifi provides open APIs and tools that give clients the flexibility they need, not just a black box.
Watch Alexei Tchernitser, Director of Product Management, talk about how implementing new risk measures, scenario analyses, or tools becomes a possibility with full-featured APIs. This reduces the need for costly and time-consuming integrations of additional systems, fostering efficiency and agility in operations.
Quantifi is highly customisable, which allows Arini to tailor the solution to its specific investment needs. This flexibility was essential for a firm like Arini, which manages a diverse range of assets and investment strategies.
Over the last few years, there has been a step change in the role of data and technology in trading, risk management and investment decision-making. Firms are deploying data science tools to improve risk assessment and business response strategies, and bring more rigour to their operations.
Quantifi's data science platform provides clients with the ability to do complex data analysis and flexible reporting using Python, Jupyter Notebooks and other popular data science tools. Integrated with Quantifi’s proven portfolio management solution, users benefit from complex client-driven analysis, strategy back-testing, ad-hoc portfolio what-if analysis - all using mixed data sets from diverse sources.
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