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Head of Trading

Manage counterparty and settlement risk

Enhances✓ Available Now

What You Do Today

Monitor counterparty credit exposure from unsettled trades, manage collateral and margin requirements, and coordinate with operations on settlement issues. Ensure proper netting and ISDA documentation.

AI That Applies

AI monitors real-time counterparty exposure across all trading activities, predicts settlement failures based on historical patterns, and optimizes collateral allocation across agreements.

Technologies

How It Works

The system ingests real-time counterparty exposure across all trading activities as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

Counterparty risk monitoring becomes more comprehensive and predictive, catching potential issues earlier.

What Stays

Managing counterparty relationships during credit events, negotiating emergency margin calls, and coordinating crisis responses require experienced judgment and relationship skills.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for manage counterparty and settlement risk, understand your current state.

Map your current process: Document how manage counterparty and settlement risk works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Managing counterparty relationships during credit events, negotiating emergency margin calls, and coordinating crisis responses require experienced judgment and relationship skills. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Calypso tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long manage counterparty and settlement risk takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your VP Operations or COO

What's our current capability gap in manage counterparty and settlement risk — and is it a people problem, a tools problem, or a process problem?

They're prioritizing which operational processes to automate

your process improvement or lean lead

What's the biggest bottleneck in manage counterparty and settlement risk today — and would AI address the bottleneck or just speed up something that's already fast enough?

They understand the workflow dependencies that AI tools need to respect

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.