Bank Loans and Syndicated Loans in SimCorp: Getting the Configuration Right

SimCorp is a powerful platform, and its flexibility is precisely what makes it well-suited to complex asset classes like bank loans and syndicated loans. That flexibility, however, comes with a responsibility: the platform will support almost any configuration you build, but the quality of outcomes, including the reliability of position data, valuations, and performance figures, depends heavily on the design decisions made upfront.

In our experience working with investment managers across different markets and loan structures, the firms that get the most out of SimCorp for these instruments are those that invest in getting the configuration right from the start, rather than building workarounds incrementally as edge cases emerge.

This post shares some of the key design considerations we work through with clients, both for firms implementing syndicated loans for the first time, and for those looking to stabilize and improve an existing bank loan setup.

Instrument Modelling: Starting with the Right Foundation

SimCorp’s loan instrument support works through the Bonds module, a well-established approach that is widely used in production across the industry. While SimCorp has continued to develop its native loan capabilities, the practical reality our clients encounter is that the Bonds-based configuration remains the more stable and operationally mature path in most cases. This requires deliberate setup to accurately reflect the specific characteristics of loan instruments: floating rate structures, fee components, amortization schedules, and the commitment-based nature of many facilities.

For syndicated loans in particular, the starting point is the term sheet. Loan structures vary considerably, in how interest is calculated, how amortization is scheduled, and how drawdown and repayment mechanics work. Each of these needs to be reflected accurately in the security setup and associated reference data before trade processing begins, as these details directly influence valuation, cash flow projections, and downstream performance measurement.

Getting the instrument model right at this stage avoids a class of downstream problems that are disproportionately difficult to unpick once positions are live and accounting transactions have been booked.

Static Data: Securing a Reliable Source

Every configuration decision above assumes the underlying static data is correct. In practice, sourcing that data reliably is one of the most underestimated dependencies in a loan implementation. The term sheet is the authoritative source, but obtaining it, and interpreting it consistently, is rarely straightforward.

There is no comprehensive central repository. Wall Street Office is the closest thing the market has, and firms already using it start from a considerably stronger position, but coverage is not complete and gaps do appear. Where a term sheet or payment notice cannot be found there, the remaining route is to approach the agent bank directly.

That has a staffing implication worth planning for deliberately rather than discovering later. Someone has to own the process of chasing term sheets and notices from agent banks, and to read them closely enough to extract the right data points and apply them consistently across instruments. Depending on the number of positions held, this can be a dedicated role or a small team.

The requirement does not end at go-live. Restructures, rate sets, unscheduled paydowns and similar events arrive as notices that have to be captured and reconciled on an ongoing basis. A configuration that is accurate on day one will drift if the flow of incoming notices is not owned by someone. In our experience, firms that establish this ownership early have materially smoother loan operations than those treating data sourcing as an implementation task that finishes at deployment.

Accrued Interest: The Case for Position-Level Precision

One of the most consequential configuration decisions for bank loans is how accrued interest is handled. The common approach, loading accrued interest as an Unofficial Price at the security level, is a reasonable starting point, but it has a meaningful limitation: it applies a single factor across all portfolios holding that security.

For firms managing loans across multiple structures such as separately managed accounts (SMAs), trusts, and collateralized loan obligation (CLO) vehicles, this can introduce valuation inconsistencies that surface as performance noise, particularly when portfolios have different cost bases, entry dates, or fee arrangements tied to the same underlying loan.

SimCorp does, however, support a more precise solution in many scenarios: one that enables accrued interest to be carried at the individual position level rather than applied uniformly across all portfolios holding a security. The configuration requires more upfront investment but can deliver a durable, position-specific approach that scales cleanly as the book grows and helps preserve the integrity of portfolio-level performance reporting.

Commitment Tracking: A Framework That Scales

Bank loans and syndicated facilities are commitment-based instruments. A firm may have a total commitment of, say, $10 million, of which $6 million is funded and $4 million remains undrawn. SimCorp's bond-based instrument model doesn't distinguish between these states by default, but it can be configured to do so effectively, providing a system-native view of total commitment exposure at all times.

With the right design in place, unfunded positions are priced at zero, so they carry no distorting impact on performance figures, and reconciliation against the agent bank or loan administration system becomes straightforward.

Lifecycle Events: Designing for the Full Picture

Loan lifecycle management is where the operational complexity lives, and where thoughtful upfront design pays the greatest dividends, both in day-to-day operations and in the accuracy of reported performance. The events that require careful configuration include:

Interest and coupon processing. For bank loans with uncertain settlement dates, it is common to book coupons as separate transactions during the settlement period. This works well at the portfolio level, but can distort security-level time-weighted returns if not handled carefully, particularly following a full liquidation, when deferred income hits performance against a zero market value. Routing post-liquidation income through an ALM, rather than directly against the security ID, resolves this cleanly.

Restructures. SimCorp handles restructures effectively, but the booking approach matters. Coupon alignment between the old and new security IDs needs to reflect SimCorp's internal position history, and decisions around booking date versus restructure date have performance implications that are worth understanding before adoption.

Payout letters and redemptions. Receiving a payout letter after a sell has been booked, where the loan is fully paid down before the sell settles, is a scenario that benefits from a documented, practiced workflow. The options are well-supported in SimCorp; the key is knowing which approach to apply based on the settlement status of the existing trade, and understanding how each option flows through to accounting and performance reporting.

Amortization and drawdowns. For syndicated loans with scheduled amortization or committed but undrawn facilities, configuring the lifecycle processing correctly ensures these events flow through to accounting and reconciliation without manual intervention.

New Implementations vs. Existing Setups

The considerations above apply in two quite different contexts, and the approach varies accordingly.

For new implementations, such as a firm bringing syndicated loans into SimCorp for the first time, the priority is to design the full configuration before any positions go live. This means working from the term sheets, establishing the instrument model, defining the transaction workflows, building out test cases that cover the full lifecycle, and ensuring accounting flows are aligned with the firm's existing processes before deployment.

For existing setups that have grown more complex over time, the priority is often to diagnose where operational practices and system configuration have drifted apart, and to bring them back into alignment. This might mean redesigning how accrued interest is loaded, introducing a commitment framework that didn't previously exist, or working through the implications of an upcoming loan administration platform migration, ensuring that a move to a new system doesn't carry forward configuration assumptions that were never fully correct or that continue to introduce noise into performance results.

The Value of Documentation

Whether implementing for the first time or stabilizing an established setup, one investment consistently delivers value: a well-structured, system-validated standard operating procedure (SOP).

A loan operations SOP should cover, at minimum: instrument setup and security creation steps; the transaction workflows for each lifecycle event (drawdown, repayment, restructure, redemption); how accrued interest is loaded and validated; the reconciliation process against the agent bank or loan administration system; and escalation paths for exception scenarios.

Loan operations involve a wide range of events, many of which occur infrequently enough that the handling approach isn’t always obvious in the moment. An SOP built against real SimCorp behavior, rather than theoretical best practice, means the right workflow is available when it’s needed, not reconstructed under time pressure. It also provides resilience against staff turnover, and a clear baseline for onboarding new team members into a consistent operational and performance reporting model.

Dimensional Community works with investment managers across different markets and operating models to design, implement, and optimize loan configurations within SimCorp. Whether you are bringing loans into the platform for the first time or looking to improve an existing setup, we are happy to discuss your specific situation.

Ready to talk loans? Get in touch with our team today.