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Beyond Excel: Why Interest Rate and FX Risk Management Has Reached an Inflection Point

Why spreadsheet-based IR and FX analysis can no longer keep pace with volatility, governance, and decision-making demands

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Robert Showers
Chief Revenue Officer
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Introduction: A Quiet but Critical Shift

For decades, Excel has been the backbone of interest rate and foreign exchange risk management. Spreadsheets offered flexibility, transparency, and speed at a time when portfolios were simpler, reporting cycles were slower, and regulatory scrutiny was lighter. For many institutions, Excel still plays a role today.

But the environment has changed.

Interest rate volatility has returned with force. Foreign exchange exposure has become more dynamic and interconnected. Audit expectations have intensified. Boards and investment committees now expect clearer explanations of risk, not just numbers. At the same time, lean teams are being asked to do more with less.

These pressures have pushed IR and FX risk management to an inflection point. The question is no longer whether Excel can calculate sensitivity. The question is whether spreadsheet-driven processes can support timely decisions, consistent governance, and scalable growth.

Increasingly, the answer is no.

The Current State: Functional but Fragile

Most investment and operations teams manage interest rate and FX risk through a patchwork of tools. Market data is sourced from one system. Exposure data from another. Calculations live in spreadsheets maintained by a small number of experts. When those individuals move roles or leave the organization, critical institutional knowledge can be lost, including the rationale behind specific macros, formulas, and assumptions built to address past conditions. Outputs are copied into presentations or reports, often with manual adjustments along the way.

This approach can work under stable conditions. It breaks down when volatility increases or when demands on the process expand.

Common pain points include:

  • Multiple versions of the same analysis circulating at once
  • Manual updates to curves, rates, and assumptions
  • Limited documentation around methodology changes
  • Heavy reliance on individual expertise rather than institutional process

The risk is not just inefficiency. It is opacity. When assumptions live in cells and logic lives in macros, it becomes difficult to explain results confidently to auditors, executives, or boards.

Why Excel Falls Short in Modern Risk Management

Excel was not designed to be a system of record for enterprise risk management. Its acute limitations become most visible in three areas.

1. Control and Auditability

Spreadsheet-based models rarely provide a clean audit trail. Changes to assumptions, formulas, or data sources are often undocumented or tracked informally. Version control depends on naming conventions and discipline, not system enforcement.

In an environment where hedge readiness, accounting alignment, and governance matter, this lack of control introduces real risk.

2. Consistency of Analysis

Sensitivity analysis depends heavily on assumptions. Curve construction, shock design, and exposure aggregation all influence outcomes. When multiple spreadsheets are used across teams or time periods, consistency erodes.

What was once a parallel rate shock becomes a slightly different scenario. What was once a standard FX stress becomes customized without record. Over time, comparisons lose meaning.

3. Scalability and Speed

As portfolios grow and products diversify, spreadsheet models become harder to maintain. Adding new scenarios or running ad hoc analysis takes time. When markets move quickly, delays in analysis translate directly into delayed decisions.

In volatile environments, speed matters. Manual processes struggle to keep up and often breakdown.

The Business Cost of Legacy Approaches

The true cost of spreadsheet-driven risk management is not measured in software license-related costs saved. It shows up elsewhere.

  • Delayed decisions and opportunity cost: When sensitivity analysis takes days instead of minutes, hedging opportunities are missed or executed reactively.
  • Operational dependency: Knowledge concentrates in a few individuals, creating key-person risk.
  • Compliance friction: Audit preparation becomes a separate project rather than a byproduct of normal operations.
  • Strategic blind spots: Risk is measured, but not always translated into action.

Over time, these costs compound. What began as a seemingly practical solution becomes a constraint on growth and confidence.

The Shift Toward Centralized SaaS-Based Risk Platforms

Leading institutions are responding by rethinking how IR and FX risk management is structured. Rather than treating sensitivity analysis as a standalone exercise, they are moving toward centralized SaaS-based platforms that connect data, assumptions, analysis, and reporting.

This shift is not about replacing judgment with automation. It is about creating a foundation that supports better judgment.

Modern SaaS-based risk platforms like DerivativeEDGE typically offer:

  • Centralized market data and exposure inputs
  • Standardized sensitivity and scenario frameworks
  • Transparent, repeatable calculations
  • Integrated documentation and audit trails

By design, these platforms reduce manual intervention while increasing visibility into how results are produced.

From Measurement to Strategy

The most important benefit of modern platforms is not efficiency. It is clarity.

When sensitivity analysis is consistent, transparent, and repeatable, it becomes easier to connect exposure to decisions. Risk conversations shift from debating numbers to debating strategy.

Instead of asking whether the analysis is correct, teams can ask:

  • Which risks matter most right now?
  • How do different scenarios affect earnings or value?
  • What hedging actions align best with our objectives?

This transition, from measurement to strategy, is where digital transformation delivers real business value.

Setting the Stage for What Comes Next

This article is the first in a series exploring how institutions are modernizing interest rate and FX risk management. The next articles will go deeper into:

  • Why sensitivity alone is not risk management
  • How advanced scenario design supports better decisions
  • How hedge accounting can be embedded earlier in the risk process
  • How SaaS platforms enable stronger governance and board communication

Together, these themes reflect a broader shift underway. Risk management is no longer a back-office function. It is a strategic capability.

Institutions that recognize this inflection point, and act on it, will be better positioned to navigate volatility with confidence rather than caution.

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Robert Showers
Rob Showers serves as Chief Revenue Officer at Derivative Path, where he leads the company’s go-to-market strategy, revenue growth initiatives, and client engagement across the buyside, sellside, and private debt markets. With over two decades of experience in capital markets and enterprise technology sales, Rob brings a unique combination of leadership in both financial institutions and high-growth fintech environments. Prior to joining Derivative Path, Rob was Chief Revenue Officer at Coherent, where he played a key role in expanding the firm's capital markets and bank services business. His career also includes senior leadership roles at BNP Paribas, SS&C, UBS, and Barclays, where he built and led high-performing global sales and trading teams across derivatives and structured products. Rob’s deep understanding of financial markets and his track record of scaling client-centric solutions make him a critical force in Derivative Path’s continued growth and expansion into new market segments. He holds a Bachelor’s degree in Comparative Political Studies from Hamilton College and is based in New York.

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