Using Golang to Speed Up Monte Carlo Simulations

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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