Using Golang to Speed Up Monte Carlo Simulations
Members can now see how life decisions could reshape the probability of success of their retirement plans in real time.How Range rewrote its Monte Carlo simulation orchestration layer in Golang to cut simulation time ~39% and power a live, interactive retirement plan.
What it does
At Range, we use Monte Carlo simulations to calculate a household’s probability of success in achieving their retirement goals. Historically, these were run by planners before delivering a retirement plan. But members want to see the impact of life decisions on their retirement goals and iterate on their plans in real time. To support that, we built a live Retirement plan that immediately reflects any changes to a household’s information. Doing so required also speeding up the Monte Carlo simulation to deliver a delightful member experience. By rewriting our simulation orchestration layer in Golang, we were able to reduce overall simulation time by ~39%, while maintaining the accuracy of…from range.com
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