Key benefits

Why financial institutions choose Opensee for collateral and margin management

Turn SIMM complexity into actionable intelligence

Risk and treasury teams can instantly explain Initial Margin at any level—from total counterparty exposure down to risk class, product class, currency, desk, and individual trade. Drill from a $2 billion IM number to the specific interest rate swap driving $50 million of that exposure in seconds, making it easier to identify optimization opportunities, and justify collateral decisions with full transparency.

Simulate and optimize before you commit

Run unlimited what-if scenarios to understand the marginal impact of unwinding trades, reallocating portfolios across counterparties, or changing CSA terms before execution. Opensee's real-time simulation engine recalculates SIMM, collateral requirements, and funding costs instantly on live or versioned data, enabling smarter capital allocation, collateral optimization, and pre-trade margin analysis that reduces surprises and frees up scarce liquidity.

Let AI explain margin moves and improve data quality

Agensee automatically surfaces which risk classes, products, or trades drove changes in your Initial Margin, eliminating manual forensics. AI-powered anomaly detection flags missing informations, incorrect product classifications, or suspicious IM spikes. Automated data quality checks and certification workflows ensure BCBS 239 compliance and audit-ready margin calculations with full traceability.

Key features

Key capabilities of Opensee for collateral and margin management

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Granular SIMM breakdown from counterparty to trade

Consolidate IM exposure across SIMM, CCP models, and internal add-ons with instant drill-down capabilities. Navigate from total IM to counterparty, netting set, risk class, product class, currency, desk allocation, and individual trade. Analyze sensitivities by bucket, risk factor, tenor, and currency to understand exactly what's driving your margin requirements.

Consolidated view of IM across all counterparties, CCPs, and bilateral agreements

Instant drill-down from portfolio to risk class, product, desk, and trade level

Historical IM trending with day-on-day explain

Support for SIMM, CCP margin models, and custom internal methodologies

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Margin impact analysis before execution

Run instant what-if scenarios to quantify the marginal IM impact of new trades, unwinds, portfolio reallocations, or counterparty re-papering. Opensee's simulation engine works on live or versioned datasets, recalculating SIMM exposure in seconds across billions of sensitivities. Support strategic decisions on trade structuring, counterparty selection, and CSA optimization with concrete, data-driven margin projections.

Pre-trade IM estimation at trade, strategy, and portfolio level

Unwind and reallocation simulations to optimize collateral usage

Scenario analysis on market shocks

Backtest alternative collateral strategies and CSA terms before commitment

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Optimize collateral allocation across entities and counterparties

Combine collateral inventory, eligibility schedules, haircuts, and concentration limits with real-time margin requirements to monitor the efficiency of your collateral allocation. Analyze funding costs by currency, asset class, entity, and desk. Replay historical collateral allocation decisions and simulate alternative strategies.

Real-time collateral inventory with eligibility, haircuts, and concentration tracking

Funding cost calculations across entities, CCPs, and bilateral relationships

Historical replay and simulation of collateral allocation strategies

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AI-driven margin explain and data certification

Agensee identifies key drivers of IM changes and suggests drill-down paths to investigate further. Built-in data quality checks validate completeness, accuracy, and consistency of trade data, sensitivities, and margin inputs. Business users can configure quality rules, certify data, and maintain full audit trails for regulatory compliance.

AI-powered driver analysis for day-on-day IM changes

Anomaly detection in sensitivities, trade attributes, and margin feeds

Configurable data quality checks with certification workflows

Full data lineage and versioning for BCBS 239 and regulatory audit readiness

More solutions

Explore more Opensee solutions

Market Data Store

Get your EOD and intraday market data into Opensee faster and leverage it for analytics and backtesting —saving time on development, maintenance, and support.

Trade Analytics

Centralize the trading lifecycle into one unified repository, enabling real-time post-trade analysis, MiFID II best execution compliance, and AI-driven pre-trade intelligence to optimize every trade before execution.

Market Risk

Monitor, explore, and explain real-time VaR, sensitivities, and stress scenarios. Centralize risk inputs from multiple sources with zero trade-offs between portfolio transparency, investment agility, and reporting.

Financial Resource Management

Monitor, stress test, and explain how liquidity, interest rate risk, and capital constraints interact across the banking book.

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