Your AI Risk Analysis & Reporting Teammate aggregates portfolio data across every system, runs VaR and stress-testing models, generates regulatory reports for CCAR and DFAST, and surfaces anomalies for risk officers — automatically. No manual spreadsheets. No missed deadlines. No blind spots.
From data aggregation across siloed systems to regulatory submission, your AI teammate handles every step of the risk reporting lifecycle with speed and precision.
Connects to trading systems, portfolio management platforms, market data feeds, and internal databases — consolidating position, exposure, and counterparty data into a unified risk view automatically.
Runs Value-at-Risk calculations, Monte Carlo simulations, and scenario-based stress tests across portfolios — delivering results in minutes instead of days with full model transparency.
Automatically generates CCAR, DFAST, Basel III/IV, and FRTB submissions with pre-validated data, audit trails, and formatting that meets regulatory specifications without manual intervention.
Continuously monitors portfolio positions, market movements, and counterparty exposures — flagging anomalies, concentration risks, and limit breaches before they escalate.
Generates real-time dashboards for CROs and risk committees showing portfolio heat maps, exposure breakdowns, and trend analysis — always current, always audit-ready.
Provides 24/7 surveillance of market risk, credit risk, and operational risk indicators — triggering alerts and escalation workflows when thresholds are breached.
Designed for the executives and risk professionals responsible for portfolio oversight, regulatory compliance, and enterprise risk governance.
CROs who need a unified view of enterprise risk exposure across business lines, real-time monitoring, and confidence that every regulatory submission is accurate and on time.
Market risk leaders managing VaR limits, stress testing programs, and trading book exposures who need faster model execution and real-time position monitoring.
ERM leaders responsible for risk appetite frameworks, board-level reporting, and cross-functional risk aggregation who need to eliminate data silos and manual consolidation.
AI Risk Analysis & Reporting directly displaces slow, error-prone manual workflows — without disrupting your existing risk infrastructure.
Every AI Risk Analysis deployment is benchmarked against the metrics that matter most to risk management leaders and regulators.
Risk reports that once took days of manual assembly are generated in hours — with full data lineage and audit trails.
VaR, stress test, and scenario models achieve 95%+ backtesting accuracy — validated continuously against real market outcomes.
CCAR, DFAST, and Basel submissions generated and validated ahead of deadline — eliminating last-minute scrambles and regulatory risk.
Anomalies, limit breaches, and concentration risks are detected and escalated within minutes — not discovered days later.
Every asset class, counterparty, and business line is included in risk calculations — no blind spots from data gaps or silos.
Intelligent anomaly detection reduces false alerts by 60%, ensuring risk officers focus on genuine threats and material exposures.
Your AI teammate integrates with the trading platforms, analytics engines, and data systems you already use — no rip-and-replace required.
Real-time market data feeds, pricing, and analytics from Bloomberg integrated directly into risk models and portfolio monitoring workflows.
Market data, reference data, and news feeds from Reuters/Refinitiv for real-time risk factor updates and scenario calibration.
Credit risk models, economic scenario data, and ratings intelligence from Moody's integrated for counterparty and credit risk analysis.
Bi-directional integration with SAS for model execution, data management, and regulatory reporting workflows across risk types.
Connects to Oracle OFSAA for enterprise risk data warehousing, regulatory capital calculations, and compliance reporting pipelines.
Open APIs and configurable data connectors for any proprietary system, internal data lake, or third-party risk platform not covered by out-of-the-box integrations.
A structured, phased deployment that delivers measurable results from the first sprint. No multi-year transformation required.
Every model output is auditable. Every decision is governed. Built from the ground up for regulated financial services environments.
Every material risk decision and model override routes to a human risk officer. AI accelerates analysis — professionals retain decision authority.
Full model audit trails, role-based access control, and compliance logging designed for FINRA, SEC, OCC, and Federal Reserve examinations.
Data residency controls, AES-256 encryption at rest and in transit, and configurable retention policies for every jurisdiction and regulatory framework.
Full model documentation, validation workflows, and change management aligned with SR 11-7 supervisory guidance for model risk governance.
See measurable results — faster risk reporting, higher model accuracy, and proactive anomaly detection — within your first month. No multi-year commitment. No rip-and-replace. Just results.