Quantitative analysis · Equities

You find patterns in share price data that predict which shares will rise or fall, and turn them into signals for a trading strategy. The seat is a quantitative researcher on a mid frequency equity statistical arbitrage strategy. Statistical arbitrage means holding many long and short positions in shares chosen by a model, so that the bets cancel out broad market moves and profit from small mispricings between stocks. Mid frequency means positions held for hours or days rather than microseconds or months.

Your job is alpha generation. Alpha is the return a strategy earns beyond what the market gives everyone, and generating it means finding new predictive signals. You cover the full research pipeline, from cleaning raw data through to a signal trading live.