Proven Results - Analytics & Reporting
Insights Delivered. Decisions Accelerated.
These success stories show how cipris turns complex quantitative outputs into real-time, accurate analytics that empower faster decision-making, improved risk monitoring and regulatory confidence(*).
Case Study: Credit Exposure Reporting – 2 Days to 30 Minutes
What the client needed:
A risk team spent two full days manually compiling credit exposure reports, delaying risk decisions and reducing responsiveness to changing market conditions.
What we did:
We designed an automation pipeline for credit exposure reporting, validated internal exposure models, built data flows and reporting dashboards, and automated key calculations and reconciliations.
What the client gained:
- Reporting cycle cut from 2 days to 30 minutes
- Same-day risk decision capability and responsiveness to market moves
- Improved accuracy and consistency in exposure reporting
- Risk team freed to focus on strategic analysis instead of manual work
Case Study: Daily Risk Monitoring Framework – 3-Hour Gain
What the client needed:
Trading operations needed faster delivery of VaR / IRC / CRM / Stress metrics plus early warning alerts to manage intraday exposure. The existing manual process created delays.
What we did:
Built an automated, documented process for monitoring risk metrics (VaR, IRC, CRM, Stress) with early alert capabilities, remediated data gaps, strengthened governance workflows, and triggered alerts if thresholds breached.
What the client gained:
- 3-hour earlier risk reporting daily
- Timely trader sign-off and faster response to market volatility
- Enhanced accuracy and completeness of risk metrics
- Embedded early warning framework improving oversight
Case Study: 2-Hour Gain in Daily Market Risk Production
What the client needed:
Trading desks depended on daily market and liquidity risk figures, produced manually, which delayed decision-making and reduced responsiveness in volatile markets.
What we did:
We implemented an automated pipeline to generate and analyse market/liquidity risk figures daily. The system improved data completeness and accuracy, minimized manual steps, and reduced the production time by two hours.
What the client gained:
- 2-hour faster market risk production, enabling quicker trading decisions
- Greater accuracy and completeness in risk analytics
- Reduced operational burden on risk teams, freeing up capacity for higher-value work
Case Study: 2-Hour Gain for Credit Risk Production
What the client needed:
A Central Counterparty (CCP) required a comprehensive credit risk modelling process with full documentation, but their existing workflow was slow, manual, and hard to audit.
What we did:
We developed a credit risk framework for CCP operations, covering data flows, methodology for house/client credit exposures, comprehensive VBA implementation of ~9,000 lines, validated model outputs, formalised reporting and trained the stakeholders. The process was configured to automate production and reduce delays.
What the client gained:
- Credit risk production accelerated by 2 hours per cycle
- Production-ready framework with full regulatory compliance and documentation
- Sustainable, audited processes and trained personnel for consistent ongoing operation
(*) Some results are based on the founder's extensive experience at top-tier financial institutions.
What Clients Gain
- Reporting cycles reduced from days to under an hour via automation
- Greater reliability and accuracy in credit, market & liquidity risk figures
- Systematic early alerts and oversight enabling proactive risk control
- Scalable, auditable processes that enhance governance and compliance