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Practical Application

The Fed Just Raised Rates for the First Time in Three Years. Your Certificate Decisions Got Harder

Sophia JungSeptember 22, 2026

Listen: The Fed Just Raised Rates for the First Time in Three Years. Your Certificate Decisions Got Harder

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On September 16, the Federal Reserve raised its target range for the federal funds rate by a quarter point, to 3.75% to 4.00%. The vote was unanimous, 12 to 0, and it's the first increase since July 2023. For a credit union, that single sentence turns into a very practical question: what do we do with the certificates that mature in the next few months?

The Fed's own statement said inflation remains elevated and that the move would support a faster return to its 2% goal. It also raised the rate it pays on reserve balances to 3.90%, effective September 17. A summary of the Fed's new projections from the investment firm Stephens reported that sixteen committee members expect at least one more quarter-point increase by the end of the year. Projections change, so treat that as a signal, not a promise.

Why this is a real decision and not just a rate update

Before this month, the Fed had cut rates three times in late 2025 and then held steady through the summer. Members who locked in certificates during that period are now approaching maturity into a different market. Each maturing certificate puts three options in front of you: reprice it high enough to keep the money, let it go, or replace the funding some other way.

None of those options is automatically right. Keeping every dollar can squeeze your margin. Letting too much leave can leave you short when loan demand is strong. And members are not all alike. Some will roll over at almost any rate because they trust you, while others check the competition every week.

What the data needs to answer

The useful question is member-level, not portfolio-level. For each batch of maturing certificates, you want to know:

  • How much matures each month over the next year, and how concentrated it is in a few large balances
  • Which of those members have other relationships with you, such as a loan, direct deposit, or a checking account
  • How each group behaved the last time their certificates came due and rates moved
  • What it would cost to replace that money elsewhere, compared to the extra interest you'd pay to keep it

This is where machine learning can be useful, because it can estimate how likely a member is to stay at a given rate. It only works if the underlying data is clean and connected, which is the same lesson from earlier this summer about data quality being the real barrier to AI. A model fed messy member records will produce confident-looking nonsense.

Keep a person in the decision

Even a good model gives you a probability, not a policy. The board and the CFO still decide how much margin to give up for retention, and how much deposit growth the credit union needs to fund its lending. The best use of the tool is to make that conversation faster and better informed, not to replace it.

If you do nothing else this week, pull your maturity schedule for the next twelve months and sort it by balance size. It's the quickest way to see where this rate move will hit you first.

Sources

About the author

Sophia Jung is the founder of Magnus. She attended Johns Hopkins for Data Science and Cloud Computing, with a background spanning full-stack engineering at Ford Motor Company and business intelligence leadership at a credit union, where she built a BI department from scratch. Magnus combines that technical depth with direct credit union experience.

More about our founder →