Careers at Moretus
We are interested in people who want to understand how markets work, build models of the world and make demanding systems run well. Show us how you think.
Start a conversationThe questions that interest us
How should a probability change as new information arrives? Which apparent patterns survive a better experiment? What happens to a promising model when execution costs and latency enter the picture?
These questions connect our work across financial markets and sports prediction markets. They call for depth in a discipline and curiosity about the work on either side of it.
Areas of interest
We welcome introductions in the following disciplines. These are starting points for a conversation about working together.
Model the process behind an outcome. Work through probability, inference, market microstructure and the difference between a compelling backtest and a result that survives new data.
Share a paper, a model or an experiment. Tell us what you tested, what surprised you and where the result stops being reliable.
Get in touchBuild the systems that connect research to a live market. The questions span low-latency execution, concurrency, performance measurement and dependable operation under changing conditions.
Share something you built or made faster. Explain the constraint, how you measured it and the trade-offs behind your design.
Get in touchMake research reproducible. Explore data quality, event timing, simulation and the tools that let a researcher trace a result back to its source.
Share a pipeline, a research tool or a difficult data problem. Show how you checked correctness and made the work easier to reproduce.
Get in touchAn introduction is enough
Write a short note about what you are working on and what you would like to explore. Include a project, paper or code sample you can share, and a CV or profile for context. If your best work is private, a description of the problem and your contribution is welcome.
A specific question, a careful experiment or a well-explained engineering decision gives us a good place to begin.
Introduce yourself