vRisk: Enterprise Risk Infrastructure for Multi-Asset Portfolios

vRisk gives investment teams a single, consistent view of portfolio risk without losing underlying detail. It eliminates data and model mismatches across teams, reduces time spent reconciling analytics, and enables faster, scalable stress testing across scenarios. Built to work with existing systems and models, it helps firms move from fragmented risk processes to aligned, decision-ready insights.
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Why Investment Firms Choose vRisk

Get True Portfolio-Level Risk Without Losing Granularity

Aggregate risk across asset classes while preserving loan-level detail.

Eliminate Data Model Inconsistencies

One unified framework across portfolio management and risk teams.

Work With Your Existing Systems

Leverage current vendor models, Portfolio management tools, and analytics engines.

Run Multi-Scenario Stress Analysis at Scale

Understand portfolio behavior across market shocks and scenarios.

Reduce Time Spent Reconciling Analytics

Consistent outputs across teams, no manual alignment required.
Platform Architecture

A Flexible Risk Architecture That Works with Your Stack

Granular + Aggregated Risk in One Framework

Asset-level systems for detailed analysis

Portfolio-level aggregation without losing accuracy

Plug Play Across Models and Engines

Use different vendor engines by asset class

Switch models as strategy or markets evolve

No forced standardization

Consistent Data  Methodologies

Unified inputs across risk and portfolio systems

Eliminate reconciliation delays between teams

Built Around Your Strategy — Not Ours

Fully customizable implementation

Your workflows, your models, your data

High-Performance Compute at Scale

Parallelized processing for large portfolios

Built for computationally intensive risk analysis

Stop Reconciling Risk. Start Managing It.

Understand Risk Before Markets Force You To

Multi-Scenario Analysis

Run stress scenarios and Monte Carlo simulations

Analyze multiple scenarios simultaneously

Save and reuse scenario sets

Advanced Risk Analytics

VaR (historical, Monte Carlo, stress)

KRDs across curve

Cash flow projections with reinvestment assumptions

Enterprise Risk Visibility

Exposure by sector, rating, currency, strategy

Portfolio-wide duration, OAS, and valuation impact

ALM & Cash Flow Matching

Align portfolio cash flows with liabilities

Analyze performance under different market conditions

Asset Coverage

Multi-Asset Coverage Across Fixed Income and Structured Credit

Fixed Income & Credit

Corporate bonds (callable, PIK, structured)

Sovereign bonds

Bank loans & mortgages

Securitized Products

RMBS, CMBS, CLOs, ABS

Agency & non-agency structures

CDOs, CRTs, re-REMICs

Derivatives

Interest rate & FX derivatives

Swaps, CDS, options, futures

Data + Models

Integrate Your Data, Models and Market Sources Seamlessly

Data + Models

Bloomberg

Trepp

Moody’s

Loan tapes

Intex

CoreLogic

Markit

Client data

Models &Analytics

LMM

Monte Carlo

Multi-factor models

Monitoring, Controls & Overrides

Built for Real-World Risk Management

Outlier Detection & Overrides

  • Identify anomalies using thresholds and historical patterns
  • Apply soft or hard overrides with auditability

Event-Based Risk Monitoring

  • Track exposure to market and credit events
  • Monitor sector-specific risks (e.g., housing, energy)

Interactive Risk Exploration

  • Drill down from portfolio → asset → loan level
  • Visualize risk using BI tools (Excel, Tableau, dashboards)

Optimized for speed, scalability, and complex workflows.

Parallelized computations across large datasets

Cloud, on-prem, or hybrid deployment

Enabling instant risk insights across large portfolios

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For over 25 years, Vichara has supported global investment firms, asset managers, and financial institutions with advanced technology and analytics platforms that solve real-world capital markets problems.

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