Asset Management Firm · Financial Services
Quantitative Portfolio Risk Engine
Rebuilt a legacy risk calculation system with a high-performance quantitative modeling platform capable of computing portfolio-level VaR and CVaR in real time.
Primary Impact
99.5% VaR accuracy
Industry
Financial Services
Engagement
End-to-End Delivery
The Challenge
The Problem We Were Brought In To Solve
The client's overnight batch risk calculation was taking 8 hours and could not support intraday risk management. We re-architected using parallelised Monte Carlo simulation on GPU infrastructure.
Our Approach
How We Engineered the Solution
Our team conducted a rigorous discovery process to understand the client's existing data landscape, systems architecture, and team capabilities. We designed a bespoke solution architecture tailored to the client's constraints — balancing performance requirements against infrastructure cost, regulatory compliance, and maintainability. Every design decision was validated against the primary success metric before a single line of production code was written.
Quant Finance
Monte Carlo
Risk
The Outcome
Measurable Results Delivered
Primary Metric Achieved
99.5% VaR accuracy
The solution was deployed to production within the agreed timeline, with full handover documentation, operational runbooks, and a 90-day monitoring period to ensure stability. The client's team was trained on the new platform and the system has continued to perform within SLA parameters since launch.
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