My client trades across all asset classes: cash equities, spot FX, and futures and options on equities, equity indices, fixed income, commodities, currency and cryptocurrencies. Their revenues are equally split between high frequency strategies (latency sensitive, co-located and Sharpe of 8-10+) and mid frequency strategies (Sharpe of 2-5, holding periods from 30 minutes up to 4 weeks). They follow a multi-PM/trading team structure and have around 15 trading teams at the firm currently. Each trading team leverages the firm's technology, capital, exchange connections, and other support services to develop strategies and trade them.
They are looking for both experienced traders with deployable strategies to build new teams, as well as experienced researchers and sub-PMs to join existing teams - they can offer very competitive formulaic pay-outs (20-50%).
Candidates must have strong competence in Python and/or C++ as well as a Master/PhD degree in technical subjects, including but not limited to, Mathematics, Statistics, Computer Science, Financial Engineering or Physics.