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Streamlining Excel-Based Workflows with Python Automation
For financial services firms still reliant on Excel, automating manual tasks, like spreadsheet consolidation, can enhance efficiency and data quality.
FINANCIAL SERVICES
Automating the daily reconciliation process for asset managers
Daily reconciliation processes are crucial for asset management firms needing to establish their positions. Here is how QuantSpark helped one firm automate this otherwise manual task: speeding up...
Delivering a bespoke, onsite data strategy for a global investment firm
How QuantSpark helped an ESG focused global investment management firm create value via an on site Data Strategy Secondment.
Improved forecasting and automated regulatory reporting: two simple use cases for analytics that drive impact within Financial Services
Profile Financial services as an industry is a comprehensively regulated with a high reporting standard that must be met as part of the ordinary course of business. The larger the institution, the...
Data pipelines for financial services: choosing the right tool
QuantSpark has extensive experience working with clients in financial services. Typically, their investment teams live in Excel – a manual and time-consuming practice out of step with modern tools....
Deploying advanced engineering to drive process improvement
In the fast-paced world of financial services, timely and reliable data can make all the difference in gaining a competitive edge on investment opportunities.
Unleashing AI to transform investment management
How QuantSpark primed a global investment manager to transform their operating module: ensuring their data readiness to benefit from Large Language Models