Data Science Applications in Portfolio Optimization

Funds, trusts, and family offices have numerous clients with varied constraints and needs, but they all have one common objective -- generate good returns.

We have approached portfolio construction as a constrained optimization problem in order to satisfy clients needs related to taxation, environmental impact, corporate citizenship and trading size while still maximizing risk-adjusted return for the strategy.

The financial services industry offers a bounty of opportunities to edge out competitors through innovation. Conlan Scientific can help you gain an advantage, then stay at the head of the pack.