Insurers are allocating more capital than ever to bank loans and private credit, and for good reason. Yet the operational machinery behind these asset classes has not always kept pace with the ambition. The result is a widening gap between the investment opportunity and the infrastructure meant to support it. Closing that gap has become one of the clearest paths to protecting yield and scaling with confidence.
Why insurers are leaning into bank loans and private credit
Several forces are drawing insurers toward this asset class. First, the returns are compelling on a risk-adjusted basis. Floating-rate structures provide a natural hedge against inflation and rising rates, while senior secured positions offer meaningful downside protection. Historically, loans have shown lower default rates and higher recovery values than many forms of unsecured credit, and today private credit yields often run 200 to 400 basis points above comparable public debt.
Second, loans offer genuine diversification, with low correlation to public equity and fixed income markets, which helps smooth performance across cycles. Third, the regulatory backdrop is increasingly supportive: the NAIC Principal-Based Bond Project provides a clearer framework for classifying broadly syndicated loans and private credit, with favorable capital treatment from a risk-based capital perspective.
Finally, the appetite is real and growing. Private credit assets under management within insurance portfolios have grown more than threefold over the past decade, and the global private credit market now sits near $1.7 trillion. As many middle-market banks pull back from direct lending, insurers are stepping in to fill the gap.
Where the operational strain shows up
The challenge is rarely a lack of investment expertise. It is that much of the industry accounting infrastructure was built for traditional fixed income, not for the realities of loans. When that mismatch goes unaddressed, hidden costs creep in and can quietly erode yield. Five pressure points come up repeatedly.
Nowhere is this friction more visible than in agent notice processing. There is little standardization across agent banks. Notices arrive by email, spreadsheet, portal download, and yes, even fax in 2026. Teams must interpret each one, determine whether it is a drawdown, rollover, paydown or rate set, alert the right parties and key it in by hand. At month-end and quarter-end, when thousands of notices can land in a single day, that process simply does not scale.
Key takeaways
A few lessons stand out. Bank loans and private credit demand purpose-built infrastructure, because bond-centric systems cannot accurately capture their economics. AI and natural language processing are what make agent notice processing work at scale, particularly at period-end when volumes spike. Native integration between loan data and accounting removes the manual handoffs that slow teams down, and insurance-specific reporting, with multi-basis accounting and NAIC schedules, needs to be built in rather than bolted on. Together, these point to a single conclusion: success in this asset class depends less on investment skill than on the operating model behind it.
How SS&C closes the gap
SS&C brings this together in a single, integrated operating model that runs from the agent bank inbox through to NAIC filing. SS&C Loan Data uses optical character recognition and machine learning to digitize and normalize credit agreements and life cycle events in any format, from spreadsheets to faxes, backed by a dedicated servicing team that repairs partial reads and releases nothing below 100% accuracy. That clean data flows straight into SS&C Singularity, which treats loans with the correct economic and regulatory logic rather than forcing them into a bond model, and produces GAAP, statutory, IFRS and tax results in parallel alongside filing-ready NAIC schedules D, DA and BA.
The scale behind the platform is what makes it credible. SS&C processes roughly 350,000 agent notices per quarter, achieves more than 80% straight-through processing with no human in the loop and reaches field extraction rates above 90% on common notice types, powered by a natural language engine trained on over 1.5 million notices. More than 30 dedicated credit specialists and over 35 years of loan accounting experience stand behind the technology, and a fully managed outsourcing service can augment in-house teams while the client retains full transparency and oversight.
Turning complexity into advantage
Bank loans and private credit are no longer a niche allocation. They have become a core part of how insurers pursue yield, diversification and capital efficiency, and the opportunity is still growing. What separates the insurers who scale with confidence from those who stall is rarely the quality of their investment decisions. It is whether the operating model beneath those decisions can keep pace. When the infrastructure is built for loans, the very complexity that once slowed teams down becomes a source of advantage, and growth no longer comes at the expense of control. The insurers who get this right will not simply participate in the private credit story. They will help write its next chapter.
To explore what this could look like for your portfolio, contact us to learn more.