Proven Results - Validation & Compliance

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These case studies show how CIPRIS delivers AI-first validation and governance frameworks that provide accuracy, regulatory compliance, and risk resilience—across benchmarks, documentation, model risk frameworks and enterprise scope(*).

What the client needed:
A FinTech firm’s pricing models showed mismatches against established benchmarks across multiple option types, creating risk in pricing and Greeks calculations.

What we did:
We conducted comprehensive benchmarking across a wide variety of options vs industry outputs. We ran extensive scenario testing of prices and Greeks, traced model implementation gaps, and systematically fixed methodological and technical issues to align performance.

What the client gained:

• Excellence vs benchmark accuracy within several basis points in most cases
• Stable pricing across deep ITM/OTM, during extreme volatility conditions, and across short and long dated options
• Improved risk-sensitive Greeks calculations
• Confidence to deploy pricing models in production with regulatory trust

What the client needed:
Global investment banks required independent validation of valuation, finance and initial margin models under updated FRTB and Basel regulations to retain access to internal model approaches.

What we did:
Validated 30+ critical models including methodology review, back-testing, stress-testing and benchmarking to industry standards. Delivered regulatory-grade reports and frameworks aligned with governance expectations.

What the client gained:

• 100% approval rate under FRTB regulatory framework
• Strengthened governance and validation workflows
• Enhanced regulatory preparedness across model teams
• Confidence in internal approaches for capital calculations

What the client needed:
A FinTech needed full model validation documentation and framework across multiple asset classes to meet regulatory and audit standards.

What we did:
We created comprehensive documentation for each model, including unit tests, replication, sensitivity, stress and convergence testing suites. Ensured end-to-end compliance in model risk management.

What the client gained:

• Full documentation and rating framework suite to regulatory standard
• Systematic testing ensuring model accuracy and reliability
• Simplified audit and compliance reviews
• Transparency in model validation process

What the client needed:
A global bank required enterprise-wide model inventory and risk rating framework for strategic model risk governance and regulatory approval.

What we did:
Built and deployed model inventory system covering all models (incl. thousands of algo-trading, AFC, research, etc.), designed risk rating methodology, integrated impact analyses for executives, and created governance tools for oversight.

What the client gained:

• Institutional model risk framework enabling enterprise oversight
• Quantified risk ratings providing clarity to senior leadership
• Better decision-making through visibility into model risk exposures
• Regulatory confidence in governance and inventory practices

(*) The results are based on the founder's extensive experience at top-tier financial institutions.