Data and Analytics
About Us
Crisil is a leader in providing next generation Data and Analytics solutions for Financial Service firms across the globe. We support end-to-end advisory, execution, and operation capabilities across the Data & Analytics spectrum empowering value creation for Banks, Asset Managers, Wealth Managers and other Financial Service organizations across the globe.
Our Clients
15 of the top 20
Global Investment Banks
55+
Buy Side Firms
20+
Regional Banks
We also support a number of other Financial Services clients across Insurance, Private Equity, Hedge Funds, Hedge Fund Managements and Independent Research. We help our clients deal with challenges such as
Designing and implementing a holistic data strategy that aligns with the organization’s key business drivers
Establishing accountability for data, enforced by the policies and standards used to govern and control data
Implementing governance models to properly control data across the information management lifecycle
Designing and developing the infrastructure to integrate the business, data, and technology landscape
Supporting the cloud journey with a tailored offering to facilitate cloud strategy, adoption and optimization
Delivering cutting-edge insights and predictive analytics capabilities through advanced AI & ML algorithms
Our Solutions
The Crisil Advantage
Top class talent with over 75% of employees having advanced degrees in Quant, Fin, Tech and BA, 15% have PHDs
Established partnerships with industry leading analytics and big data platforms
Deep domain expertise across Banking & Capital Markets, Wealth and Asset Management, Private Equity, Hedge Funds, and Insurance
Best-in-class high-tech proprietary products to support client needs
Global presence with delivery centers across APAC, US, LATAM, Europe, Australia
Trained bench to meet demand surge and resource replacement
Questions
Crisil Integral IQ
January 11, 2024Increasing trust in AI: Broad framework to navigate challenges
End-to-end advisory, execution, and operation capabilities across the Data and Analytics spectrum