A career in quantitative trading or research is one of the most exciting and intellectually rewarding paths in finance.

Large financial institutions that engage in regulatory arbitrage by exploiting regulatory frameworks across jurisdictions to minimise regulatory burdens may reduce costs but may also increase risks ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Q3 2025 Earnings Call November 11, 2025 10:30 AM ESTCompany ParticipantsRosana Avolio - Investor Relations ManagerRoberto Ramos - ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...